{"id":20940,"date":"2026-05-04T07:30:00","date_gmt":"2026-05-04T07:30:00","guid":{"rendered":"https:\/\/www.restroworks.com\/blog\/?p=20940"},"modified":"2026-05-08T13:07:30","modified_gmt":"2026-05-08T13:07:30","slug":"key-metrics-for-forecasting-restaurant-demand","status":"publish","type":"post","link":"https:\/\/www.restroworks.com\/blog\/key-metrics-for-forecasting-restaurant-demand\/","title":{"rendered":"Key Metrics for Forecasting Restaurant Demand: Essential KPIs Explained"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"20940\" class=\"elementor elementor-20940\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b5cef89 e-flex e-con-boxed e-con e-parent\" data-id=\"b5cef89\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dd64c78 elementor-widget elementor-widget-text-editor\" data-id=\"dd64c78\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400\">Running a restaurant means you have a lot of important information at your disposal\u2014sales reports, covers, table turns, online orders, reservations, and so much more. But when it\u2019s time to plan the next shift or forecast the weekend demand, you might not know where to begin.<\/span><\/p><p><span style=\"font-weight: 400\">The thing is, when it comes to forecasting restaurant customer demand, the problem isn\u2019t a lack of data or access to it. But which data matters the most? Because the same set of KPIs can tell very different stories depending on how you read them. Total sales may be high, but the hourly data may reveal fluctuating demand and inefficient staff planning.<\/span><\/p><p><span style=\"font-weight: 400\">That is why tracking the right KPIs gives you the clarity you need to improve the accuracy of your forecasts in the foodservice industry. You can turn your assumptions into actionable insights and make sure your staffing and inventory decisions align with the demand.<\/span><\/p><p><span style=\"font-weight: 400\">This blog focuses on the key metrics for forecasting restaurant demand to help you anticipate things better and plan with fewer surprises.<\/span><\/p><h3>What you will learn?<\/h3><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Why do you need to measure KPIs to forecast demand?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The key restaurant metrics you can use<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How to ensure the accuracy of your restaurant forecasting processes?<\/span><\/li><\/ul><h2>What is Restaurant Demand Forecasting?<\/h2><p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-20946\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/What-is-demand-forecasting.webp\" alt=\"Demand forecasting\" width=\"741\" height=\"486\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/What-is-demand-forecasting.webp 741w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/What-is-demand-forecasting-300x197.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/What-is-demand-forecasting-150x98.webp 150w\" sizes=\"(max-width: 741px) 100vw, 741px\" \/><\/p><p><a href=\"https:\/\/www.restroworks.com\/blog\/restaurant-demand-forecasting\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Restaurant demand forecasting<\/span><\/a><span style=\"font-weight: 400\"> focuses on predicting future customer demand based on historical data, customer traffic, and external factors over a specific period of time.<\/span><\/p><p><span style=\"font-weight: 400\">With demand forecasting, you can answer specific questions like-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How many customers are likely to dine in or order online from my restaurant?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Which menu items will be high in demand?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How should I schedule my staff to align with the expected demand?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How much inventory do I need to ensure smooth kitchen prep without over- or understocking?<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">With the<\/span><a href=\"https:\/\/www.ey.com\/content\/dam\/ey-unified-site\/ey-com\/en-gl\/insights\/strategy-transactions\/documents\/ey-three-steps-to-adapt-forecasting-in-crisis.pdf\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">right approach to forecasting<\/span><\/a><span style=\"font-weight: 400\">, you can anticipate guest flow, plan staffing levels, and manage inventory to avoid issues during service. It also ensures your decisions are based on accurate information and rooted in your operational realities. Ultimately, this helps improve customer experience.<\/span><\/p><h2>Why is Tracking Demand KPIs Crucial for Restaurant Operations?<\/h2><p><span style=\"font-weight: 400\">Here\u2019s something interesting. Consumer spending at restaurants in 2025 grew by 3% year over year, with collective<\/span><a href=\"https:\/\/www.circana.com\/post\/circana-announces-top-50-u-s-restaurants-for-2026\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">spending being $1 million<\/span><\/a><span style=\"font-weight: 400\"> at restaurants every minute. So you know that demand is there. But how much of it is going towards your restaurant? Demand KPIs are a good way to do that.<\/span><\/p><p><span style=\"font-weight: 400\">Not to mention, managing a restaurant is already complicated enough. Add in analyzing and forecasting data into the mix, and it can throw anyone off. Tracking the demand KPIs makes your restaurant forecasting process a bit easier by ensuring you only work with the right data.<\/span><\/p><p><span style=\"font-weight: 400\">Here\u2019s why you must track demand KPIs regularly for your restaurant-<\/span><\/p><ul><li style=\"font-weight: 400\"><strong>Make Data-Driven Decisions:<\/strong><span style=\"font-weight: 400\"> Regularly tracking demand patterns like guest traffic or peak service hours and customer data like<\/span><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0278431920303820\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">direct feedback<\/span><\/a><span style=\"font-weight: 400\"> means you\u2019re working with actual data. This helps you make smarter business decisions based on facts.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Eliminate Guesswork:<\/strong><span style=\"font-weight: 400\"> Consequently, working with actual sales data also means you\u2019re not relying on instincts anymore. Demand KPIs give you something more dependable to work with, ensuring more accurate planning and less waste.\u00a0<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Ensure Planning Consistency:<\/strong><span style=\"font-weight: 400\"> Without defined KPIs, the forecasting approach may vary from one restaurant manager or shift to another. Tracking the same demand metrics consistently establishes a consistent framework to follow. This creates better alignment across shifts, teams, and locations.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Create Flexible Forecasts:<\/strong><span style=\"font-weight: 400\"> Demand can shift quickly based on the day, time, channel mix, or local factors. Tracking demand KPIs helps you anticipate many of these changes early and adjust your sales forecasting accordingly. This gives you room to respond quickly without disrupting restaurant operations.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Meet Customer Expectations:<\/strong><span style=\"font-weight: 400\"> When staffing, prep, and inventory are planned around expected demand, your team is in a better position to enhance customer service. This leads to shorter wait times, fewer issues, and better customer satisfaction overall.<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">As Will Fleming, President at Global Shared Services, puts it, \u201cIf you have a <\/span><a href=\"https:\/\/gsslp.com\/restaurant-forecasting-methods\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400\">good process<\/span><\/a><span style=\"font-weight: 400\"> and get good at forecasting, you\u2019re going to know what you need to do to get to those results. If you don\u2019t, the business result will be sometimes good or sometimes bad.\u201d<\/span><\/p><h2>Core Metrics for Forecasting Restaurant Sales and Demand<\/h2><p><img decoding=\"async\" class=\"alignnone size-full wp-image-20947\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics.webp\" alt=\"Core metrics\" width=\"1640\" height=\"944\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics.webp 1640w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics-300x173.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics-1024x589.webp 1024w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics-768x442.webp 768w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics-1536x884.webp 1536w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Core-metrics-150x86.webp 150w\" sizes=\"(max-width: 1640px) 100vw, 1640px\" loading=\"lazy\" \/><\/p><p><span style=\"font-weight: 400\">Effective demand forecasting starts with looking at the right metrics. Here are the important KPIs to track for your restaurant sales-<\/span><\/p><h3>1. Historical Sales Data Analytics<\/h3><p><span style=\"font-weight: 400\">Sales data is usually the first place anyone looks, and for good reason. It\u2019s one of the few metrics that captures real demand over time. Every sale means there was a customer transaction.<\/span><\/p><p><span style=\"font-weight: 400\">But measuring total sales won\u2019t be of much help on its own. Sales data tells you <\/span><i><span style=\"font-weight: 400\">how much<\/span><\/i><span style=\"font-weight: 400\"> you made, not <\/span><i><span style=\"font-weight: 400\">how<\/span><\/i><span style=\"font-weight: 400\"> demand worked. You might have made the same revenue on two days, but the traffic may look completely different. So, to make this data useful for<\/span><a href=\"https:\/\/www.restroworks.com\/blog\/restaurant-sales-forecast\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400\">sales forecasting<\/span><\/a><span style=\"font-weight: 400\">, break down the sales into-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Compare the sales for the same days across multiple weeks<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Break sales into hourly or at least daypart-level performance<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Look for short-term sales trends, such as a promotion that increased sales<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">For example, if your last four Saturdays experienced a steady customer traffic between 6 PM and 9 PM, you can use that as a pattern to plan for the upcoming Saturdays.<\/span><\/p><h3>2. Guest Count and Order Volume<\/h3><p><span style=\"font-weight: 400\">If there\u2019s one metric that gets closer to defining the \u201ctrue demand,\u201d it\u2019s this. Your revenue may shift for many reasons, be it pricing, discounts, or menu mix. But guest count (for dine-in) and order volume (for delivery\/takeout) are good metrics to track to understand the actual demand.<\/span><\/p><p><span style=\"font-weight: 400\">Tracking the number of guests and online orders for a given day helps you do two things-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Guest count helps you plan floor capacity and staffing needs<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Order volume helps you<\/span><a href=\"https:\/\/www.restroworks.com\/customer\/haagen-dazs\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400\">anticipate inventory requirements<\/span><\/a><span style=\"font-weight: 400\">, kitchen prep, and ticket flow<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">These two metrics are critical for demand because a restaurant might see growing revenue and assume high demand. But this revenue may be increasing because of higher-value orders rather than more customers. In such a case, understanding the context behind customer preferences, such as the motive behind the visit at a particular time, matters a lot.<\/span><\/p><p><span style=\"font-weight: 400\">As <\/span><a href=\"https:\/\/www.linkedin.com\/in\/joseph-chartouni-ceo-restaurants-retail\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400\">Joseph Chartouni<\/span><\/a><span style=\"font-weight: 400\">, CEO of Al-Sayer Franchising Company, mentions in a <\/span><a href=\"https:\/\/restroworks.com\/restrocast\/joseph-chartouni\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Restrocast episode<\/span><\/a><span style=\"font-weight: 400\">\u2013<\/span><\/p><p><img decoding=\"async\" class=\"alignnone size-full wp-image-20948\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-scaled.webp\" alt=\"Joseph Chartouni \n\" width=\"2560\" height=\"1280\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-scaled.webp 2560w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-300x150.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-1024x512.webp 1024w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-768x384.webp 768w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-1536x768.webp 1536w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-2048x1024.webp 2048w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Joseph-Chartouni-CEO-150x75.webp 150w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" loading=\"lazy\" \/><\/p><p><span style=\"font-weight: 400\">Watch the full episode here-<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c285ef elementor-widget elementor-widget-video\" data-id=\"4c285ef\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/BfEMO9tZ3MA?si=rSxGpGFkJefbLMc5&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5db2826 e-flex e-con-boxed e-con e-parent\" data-id=\"5db2826\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3b88993 elementor-widget elementor-widget-text-editor\" data-id=\"3b88993\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>3. Average Check Size<\/h3><p><span style=\"font-weight: 400\">Average check helps you understand how much each guest or order contributes. It is calculated using the formula: <\/span><i><span style=\"font-weight: 400\">Total Sales\/ Number of covers<\/span><\/i><span style=\"font-weight: 400\"> in a period.<\/span><\/p><p><span style=\"font-weight: 400\">On its own, it doesn\u2019t tell you much about demand. But when combined with volume metrics, you will understand how demand is behaving. For instance-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">An increasing guest headcount with a declining average check size may suggest shorter visits, lighter orders, or more price-sensitive behavior.<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A higher average check with consistent order volume can indicate upselling<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">This matters because it changes how your kitchen prepares for the service. Think of the average check as less of a demand predictor and more of a modifier. It tells you the type of demand you can expect, which directly impacts inventory management and kitchen prep.<\/span><\/p><h3>4. Menu Item Performance<\/h3><p><span style=\"font-weight: 400\">Like most restaurants, you\u2019ll probably forecast demand at a high level, like expected sales, covers, or order volume. But that\u2019s only half the story. What it doesn\u2019t tell you is what that demand will look like inside the kitchen.\u00a0<\/span><\/p><p><a href=\"https:\/\/www.restroworks.com\/blog\/essential-restaurant-menu-forecasting-techniques-to-reduce-your-restaurant-costs\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Menu mix forecasting<\/span><\/a><span style=\"font-weight: 400\"> makes your demand forecasting more applicable. When you know which items are likely to be in demand, you can prepare for those dishes in advance, get the right ingredients, and avoid shortages during service.<\/span><\/p><p><span style=\"font-weight: 400\">This is why<\/span><a href=\"https:\/\/www.youtube.com\/watch?v=cXyVWVz64XE\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">menu mix<\/span><\/a><span style=\"font-weight: 400\"> matters. Instead of only looking at \u201chow many orders,\u201d you need to see-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Which menu items sell more on specific days or time slots<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Dishes that take time to prepare<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How item demand shifts between weekdays, weekends, and peak hours<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">For example, if your past data shows that a particular entr\u00e9e is ordered a lot during weekend dinner service, do plan for it in terms of prep and inventory management. If you ignore that and only forecast total demand, you\u2019ll end up underprepared.<\/span><\/p><h3>5. Reservation and Waitlist Data<\/h3><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20955\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Reservation-data.webp\" alt=\"Reservation data\" width=\"741\" height=\"486\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Reservation-data.webp 741w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Reservation-data-300x197.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Reservation-data-150x98.webp 150w\" sizes=\"(max-width: 741px) 100vw, 741px\" \/><\/p><p><span style=\"font-weight: 400\">Reservations are one of the few metrics that directly point to future demand. But at the same time, they don\u2019t guarantee it. A full reservation dashboard doesn\u2019t automatically mean you\u2019ll have a full restaurant. You have to account for no-shows, late arrivals, and even walk-ins to accurately understand your demand.<\/span><\/p><p><span style=\"font-weight: 400\">So, to make<\/span><a href=\"https:\/\/www.restroworks.com\/glossary\/online-reservation-management\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400\">reservation management<\/span><\/a><span style=\"font-weight: 400\"> data useful, you need more context, like-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How far in advance do guests typically book?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">What percentage of reservations convert into actual covers?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How much of your total traffic comes from walk-ins?<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">For example, if your restaurant historically had a 15% no-show rate, adjust your staffing requirements accordingly. Similarly, if you estimate that walk-ins will account for 25-30% of your guests but have low reservations, you can still consider it a busy night and schedule more employees for the service.<\/span><\/p><h3>6. Digital Ordering Metrics<\/h3><p><span style=\"font-weight: 400\">Your restaurant demand isn\u2019t restricted to dine-in and takeaway anymore. With people shifting to food delivery for its convenience, you also need to consider online ordering volume and other metrics to accurately forecast demand.<\/span><\/p><p><span style=\"font-weight: 400\">For instance, you see that you have fewer dine-in customers after 9 PM. Naturally, you\u2019ll assume things are winding down, and the kitchen can wrap up. But delivery orders pick up at the same time, which means your kitchen is still in full flow. So, if you\u2019re only looking at dine-in numbers, you\u2019ll miss that completely.<\/span><\/p><p><span style=\"font-weight: 400\">That\u2019s why it helps to track digital orders separately and look at metrics for-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">When do online orders actually peak?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Do weekends bring in more delivery than dine-in?<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Do promotions have an impact on online order volume?<\/span><\/li><\/ul><h2>Supporting Metrics for Accurate Forecasting<\/h2><p><span style=\"font-weight: 400\">Looking at the core metrics is a good starting point, but they don\u2019t always give you the full picture. That\u2019s where supporting metrics come in to give you more context and improve your forecast accuracy.<\/span><\/p><h3>1. Table Turnover<\/h3><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20959\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Table-turnover.webp\" alt=\"Table turnover\" width=\"741\" height=\"486\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Table-turnover.webp 741w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Table-turnover-300x197.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Table-turnover-150x98.webp 150w\" sizes=\"(max-width: 741px) 100vw, 741px\" \/><\/p><p><a href=\"https:\/\/www.restroworks.com\/glossary\/table-turnover-rate\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Table turnover rate<\/span><\/a><span style=\"font-weight: 400\"> tells you if you\u2019re using your seating capacity efficiently. Even if you see the same number of covers on two different days, one with faster table turns can handle more guests in the same timeframe. From a forecasting point of view, table turnover matters because-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Faster turnover will help generate higher capacity during peak hours<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Slower turnover will result in longer wait times and possibly even impact demand<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">As a result, you must account for the table turnover data for particular days, such as weekdays vs weekends. Without determining the turnover rate, you may hit your table and kitchen capacity earlier than expected, even if total demand is higher.<\/span><\/p><h3>2. Labor Cost Percentage\u00a0<\/h3><p><span style=\"font-weight: 400\">While labor cost is primarily a financial management metric, it\u2019s also closely tied to demand forecasting. On one hand, it helps you measure the total employee expenses against sales and sits ideally at<\/span><a href=\"https:\/\/timeforge.com\/industry-news\/understanding-labor-cost-percentage-key-strategies-for-restaurants\/\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">25-35% of revenue.<\/span><\/a><\/p><p><span style=\"font-weight: 400\">On the other hand, it is also a good indicator of how well you planned your staff around the demand. Think about it. There might have been a shift that didn\u2019t go as expected, and you had staff waiting around with not much to do. The result? The labor cost goes up.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">If you\u2019re consistently seeing a higher labor cost, it\u2019s a sign that you are overestimating the demand. This way, analyzing the labor cost percentage tells you whether your staffing decisions are actually aligned with demand, or if something in your forecast needs adjusting.<\/span><\/p><p><strong>INDUSTRY INSIGHT<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ba4494b e-con-full e-flex e-con e-child\" data-id=\"ba4494b\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ef0f53e e-con-full e-flex e-con e-child\" data-id=\"ef0f53e\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f3c580 elementor-widget elementor-widget-text-editor\" data-id=\"4f3c580\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400\">Food and labor costs, which are taken together as prime costs, are the biggest expenses of any restaurant operation. According to research, <\/span><a href=\"https:\/\/www.restaurant365.com\/guides\/the-restaurant-profitability-playbook-for-2026\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400\">food costs have increased 38%<\/span><\/a><span style=\"font-weight: 400\">, and labor costs have risen by 35% since 2019, resulting in 45% of restaurant owners and managers being unprofitable in 2025.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d1529a e-flex e-con-boxed e-con e-parent\" data-id=\"3d1529a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5dec66b elementor-widget elementor-widget-text-editor\" data-id=\"5dec66b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>3. Inventory Turnover Ratio<\/h3><p><a href=\"https:\/\/www.restroworks.com\/blog\/inventory-turnover-for-restaurants\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Inventory turnover<\/span><\/a><span style=\"font-weight: 400\"> indicates how quickly the kitchen is using ingredients in relation to demand. So, if certain items are getting exhausted earlier than expected, it may be an early signal that demand for those dishes is higher than your forecast assumed.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">On the flip side, slow-moving inventory means you\u2019re overestimating. This is also where the impact is more serious. Food waste is a direct outcome of poor demand alignment. Restaurants in the U.S.<\/span><a href=\"https:\/\/blog.cambro.com\/2019\/11\/01\/7-food-waste-statistics-every-chef-should-know\/#:~:text=%E2%80%9CThe%20restaurant%20industry%20alone%20generates,about%20%2425%20billion%20per%20year.%E2%80%9D\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">generate over 11 million tons<\/span><\/a><span style=\"font-weight: 400\"> of food waste every year, and waste about<\/span><a href=\"https:\/\/businesswaste.com\/sectors\/restaurant-waste\/restaurant-waste-facts\/\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">4-10% of the inventory<\/span><\/a><span style=\"font-weight: 400\"> they purchase.<\/span><\/p><p><span style=\"font-weight: 400\">To minimize this wastage, pair this information with menu mix data, and you can-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Adjust purchasing based on actual consumption patterns<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Avoid overstocking items with low demand<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Prepare better for high-demand ingredients in advance<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">Your inventory data is readily available via your POS and inventory management systems. In fact, when you combine this data with real-time stock alerts and AI demand forecasting, you can reduce food waste, as a<\/span><a href=\"https:\/\/chekmenu.com\/success-stories\/\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">Cape Town restaurant did by 25%<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p><h3>4. Seasonal Trends and Variance<\/h3><p><span style=\"font-weight: 400\">A lot of the time, a change in your demand forecast has nothing to do with using the wrong data or calculation. Several external factors impact customer behavior and demand, which may be why your forecast for the week didn\u2019t match as expected.<\/span><\/p><p><span style=\"font-weight: 400\">Using seasonal variance factors<\/span><a href=\"https:\/\/scholarspace.manoa.hawaii.edu\/server\/api\/core\/bitstreams\/0baa1e14-3b37-4832-b534-dcb37b082f8d\/content\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">makes your forecasts more reliable<\/span><\/a><span style=\"font-weight: 400\"> and closer to reality. Here are the important seasonality metrics you need to consider-<\/span><\/p><ul><li style=\"font-weight: 400\"><strong>Weather Patterns:<\/strong><span style=\"font-weight: 400\"> Weather changes like sudden rain or snowfall might make your customers stay home and order online instead. Or a good sunny day may encourage them to have a nice dinner out. It also affects how long customers stay and how much they order, which directly affects your demand.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Seasonal Changes:<\/strong><span style=\"font-weight: 400\"> Seasonal changes like holidays, vacation periods, or festive seasons can bring higher footfall. Look at these patterns across seasonal periods to plan your forecast.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Local Events:<\/strong><span style=\"font-weight: 400\"> Keep a simple record of local events and happenings, and see how your sales behave. If you notice events and which ones actually drive traffic, you can use that as a base to adjust forecasts for more upcoming events around you.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Economic Indicators:<\/strong><span style=\"font-weight: 400\"> Even something as simple as tracking sales around paydays or month-end periods can give you useful signals. This is because demand can fluctuate in case of economic changes like price increases or paydays, making them important metrics for forecasting sales.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Competition and Market Trends:<\/strong><span style=\"font-weight: 400\"> New restaurant openings, competitor promotions, and market saturation are key variables that directly impact your restaurant demand.<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">AI algorithms or machine learning models can actually<\/span><a href=\"https:\/\/web-assets.bcg.com\/img-src\/BCG-The-New-Digital-Reality-for-Restaurants-Nov-2017_tcm9-175557.pdf\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">help you predict the impact<\/span><\/a><span style=\"font-weight: 400\"> of these factors on your demand, using real-time store-level data.<\/span><\/p><h2>Common Demand Forecasting Mistakes Restaurants Make<\/h2><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20960\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecasting-mistakes.webp\" alt=\"Common forecasting mistakes\" width=\"741\" height=\"486\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecasting-mistakes.webp 741w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecasting-mistakes-300x197.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecasting-mistakes-150x98.webp 150w\" sizes=\"(max-width: 741px) 100vw, 741px\" \/><\/p><p><span style=\"font-weight: 400\">Even with the right metrics and forecasting tools at your disposal, mistakes can happen. Here are some major mistakes to steer clear of-<\/span><\/p><ul><li style=\"font-weight: 400\"><strong>Relying on averages too much:<\/strong><span style=\"font-weight: 400\"> Average numbers don\u2019t take into account the things that actually happened during the service that impacted demand. Only using numbers, without context or considering external factors, can lead to poor planning.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Looking at demand at an everyday level:<\/strong><span style=\"font-weight: 400\"> A single day may attract high demand, but is it equally distributed when broken down to the hour? Of course not. Demand cannot be consistent, but breaking it down to the hour informs you exactly when demand peaks and how you can plan for it.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Combining dine-in, delivery, and takeout data:<\/strong><span style=\"font-weight: 400\"> Customer demand behaves differently across ordering channels. If you combine them all for forecasting sales, you won\u2019t be able to plan for, say, increased<\/span><a href=\"https:\/\/www.restroworks.com\/glossary\/online-reservation-management\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400\">online delivery<\/span><\/a><span style=\"font-weight: 400\"> demand during a public holiday.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><strong>Not tracking external factors:<\/strong><span style=\"font-weight: 400\"> Weather, local events, or nearby competition can all impact demand. If you don\u2019t track them, demand changes will always be inaccurate.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400\"><b>Not updating forecasting models regularly:<\/b><span style=\"font-weight: 400\"> As your restaurant grows, so will the demand and priorities. Which means it is equally important to update your forecasting models with it to maintain relevance and accuracy with your consumer demand.<\/span><\/li><\/ul><h2>How to Measure and Improve the Accuracy of Restaurant Sales Forecasting?<\/h2><p><span style=\"font-weight: 400\">You can only improve what you measure. If you actually want to improve<\/span><a href=\"https:\/\/www.federalreserve.gov\/monetarypolicy\/files\/BeigeBook_20241023.pdf\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">forecasting accuracy<\/span><\/a><span style=\"font-weight: 400\"> and your customer experience, you need to go one level deeper.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">You need a simple review process, combined with specific KPIs to measure how accurate your forecast is, where it\u2019s failing, and how to fix it over time. Here\u2019s how to go about it-<\/span><\/p><h3>1. Start by Comparing Forecast vs Actual Demand<\/h3><p><span style=\"font-weight: 400\">Before jumping straight to accuracy metrics, review expected vs actual. This will help you identify patterns and improve your methodology over time.<\/span><\/p><p><span style=\"font-weight: 400\">Depending on the needs of your restaurant business, review the following at the end of each shift or week-<\/span><\/p><ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Expected vs actual covers or order volume<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Expected peak hours and periods vs what actually happened<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Where demand came from (dine-in vs delivery vs takeout)<\/span><\/li><\/ul><p><span style=\"font-weight: 400\">For example, if your predicted total covers were close but the customer traffic came in earlier than you expected, you probably predicted the wrong peak hours. Or if delivery demand was higher than planned, perhaps you didn\u2019t account for delivery channels. So these are the gaps you\u2019ll refine using KPIs.<\/span><\/p><h3>2. Measure the Forecast Accuracy<\/h3><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20961\" src=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecast-accuracy.webp\" alt=\"Measuring accuracy\" width=\"741\" height=\"486\" srcset=\"https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecast-accuracy.webp 741w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecast-accuracy-300x197.webp 300w, https:\/\/www.restroworks.com\/blog\/wp-content\/uploads\/2026\/05\/Forecast-accuracy-150x98.webp 150w\" sizes=\"(max-width: 741px) 100vw, 741px\" \/><\/p><p><span style=\"font-weight: 400\">Once you start reviewing regularly, the next step is to quantify the accuracy of your forecasts. This is where the<\/span><a href=\"https:\/\/www.farseer.com\/blog\/4-demand-forecast-accuracy-kpis-youll-actually-use\/#:~:text=Let&#039;s%20start%20with%20the%20most,Why%20it%20matters\" target=\"_blank\" rel=\"nofollow noopener\"> <span style=\"font-weight: 400\">forecast accuracy KPI<\/span><\/a><span style=\"font-weight: 400\"> comes in. Instead of just eyeballing numbers, this gives you a consistent way to measure business performance across days or weeks.<\/span><\/p><p><span style=\"font-weight: 400\">In demand planning, you can measure this using the Mean Absolute Percentage Error (MAPE)\u200b metric, which expresses forecasting errors as a percentage of actual observations.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">Use this formula- <\/span><i><span style=\"font-weight: 400\">MAPE=1\/n \u200b\u2211\u200b|Forecast\u2212Actual \/Actual| \u200b\u200b\u00d7100, <\/span><\/i><span style=\"font-weight: 400\">where n is the number of periods.<\/span><\/p><p><span style=\"font-weight: 400\">Here\u2019s an example. Say you expected 135 guests during dinner service and only 120 dined at your restaurant.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">MAPE would be = |(135-120)\/120| x 100 = 12.5%<\/span><\/p><p><span style=\"font-weight: 400\">A lower MAPE means better accuracy.<\/span><\/p><h3>3. Check Forecast Bias<\/h3><p><span style=\"font-weight: 400\">Accuracy alone isn\u2019t enough to tell you the full story. You could always be close to your forecasts, but it also means you\u2019re overestimating or underestimating demand, which is just as problematic.<\/span><\/p><p><span style=\"font-weight: 400\">Forecasting bias tells you which direction you\u2019re going \u2014 always under or over your predictions. The formula is-\u00a0<\/span><\/p><p><i><span style=\"font-weight: 400\">Bias = \u2211(Forecast\u2212Actual)\u200b\/n<\/span><\/i><\/p><p><span style=\"font-weight: 400\">A positive result means you are underforecasting, while a negative result means you\u2019re overforecasting demand. This is an important metric for accuracy because if you\u2019re constantly over, you\u2019ll always end up with wasted stock, employee shifts, and working capital. If food cost control is one of your operational goals, this is the metric to help your planning.<\/span><\/p><h3>4. Track Patterns Over Time<\/h3><p><span style=\"font-weight: 400\">Forecasting should get better with time. If it doesn\u2019t, it can mean you\u2019re not applying the learnings into your processes. Tracking signal helps you see whether your forecast is improving or repeating the same mistakes week after week.<\/span><\/p><p><span style=\"font-weight: 400\">In this step, ask yourself if your forecasting errors have reduced with time. Do you see a repetitive pattern in the results? With time, you\u2019ll know with experience which metrics to use for restaurant forecasting, which to measure for accuracy, and how to make more predictable models for your restaurant business.<\/span><\/p><p><span style=\"font-weight: 400\">Tracking the right forecasting metrics is what eliminates guesswork from your demand planning and makes it more reliable. Without clear KPIs, you will only be looking at random numbers without really understanding what they mean or how they should influence your decisions.<\/span><\/p><p><span style=\"font-weight: 400\">Past sales data, guest count, and check size, order volume, menu item performance, and other such metrics all work together to give you the complete picture of customer demand. Over time, it will help you improve your staff and inventory management for higher cost savings and customer satisfaction.<\/span><\/p><h3>KEY TAKEAWAYS<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-506c10b e-con-full e-flex e-con e-child\" data-id=\"506c10b\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-c75b882 e-con-full e-flex e-con e-child\" data-id=\"c75b882\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-938373e elementor-widget elementor-widget-text-editor\" data-id=\"938373e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Restaurant demand forecasting uses historical sales and ordering data and customer behavior patterns to predict future sales and customer traffic.<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Tracking the right metrics helps you make more accurate restaurant forecasting, which improves staff and inventory forecasting.<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">You can use several metrics like guest count, past sales data, menu item performance, online order volume, or reservation data to understand demand.<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Other KPIs, such as food cost percentage and inventory turnover rate, also help determine demand and manage costs.<\/span><\/li><li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Measuring restaurant forecasting accuracy with KPIs helps you understand errors qualitatively and adjust forecast processes accordingly.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65abe02 elementor-widget elementor-widget-heading\" data-id=\"65abe02\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Frequently Asked Questions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f21dde6 elementor-widget elementor-widget-text-editor\" data-id=\"f21dde6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>1. What are the important metrics for restaurants?<\/h3><p><span style=\"font-weight: 400\">The most important metrics for restaurants are the ones that help you understand profitability, demand, and ensure operational efficiency. These can include prime costs (labor + food costs), food cost percentage, net profit margin, employee turnover rate, inventory turnover rate, and table turnover rate.<\/span><\/p><p><span style=\"font-weight: 400\">You can also track demand metrics like guest count, order volume, or menu item demand to identify customer ordering behavior. Together, these metrics can help you understand your restaurant\u2019s performance, sales, and demand.<\/span><\/p><h3>2. What are the 5 demand forecasting methods?<\/h3><p><span style=\"font-weight: 400\">Some of the most common demand forecasting methods for restaurants include time-series forecasting, weighted moving averages, exponential smoothing, and causal methods.<\/span><\/p><p><span style=\"font-weight: 400\">The choice of restaurant forecasting methods depends on the goal of your restaurant demand planning. For instance, if you want to identify patterns using the past sales data, time-series forecasting is a good way to project market trends.<\/span><\/p><h3>3. How do you track historical sales data for demand forecasting?<\/h3><p><span style=\"font-weight: 400\">To track historical data for restaurant forecasting, you need to break it down further from daily sales. Start by looking at sales by day of the week and by hour or meal period.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">Then compare patterns over the last few weeks instead of using just one reference point. This helps you see when demand is high, when it\u2019s slow, and how consistent those patterns are.<\/span><\/p><h3>4. Which demand forecasting method works best for restaurants?<\/h3><p><span style=\"font-weight: 400\">There\u2019s no single best restaurant forecasting method for a restaurant. The most effective approach is to combine historical data with recent trends and adjust it based on timing, channels, and external factors.\u00a0<\/span><\/p><p><span style=\"font-weight: 400\">Restaurants\u2019 demand is mostly fluctuating, so a flexible approach works better than relying on a fixed method.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Running a restaurant means you have a lot of important information at your disposal\u2014sales reports, covers, table turns, online orders, reservations, and so much more. But when it\u2019s time to plan the next shift or forecast the weekend demand, you might not know where to begin. The thing is, when it comes to forecasting restaurant [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":20941,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[26],"tags":[],"class_list":["post-20940","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-restaurant-analytics"],"_links":{"self":[{"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/posts\/20940","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/comments?post=20940"}],"version-history":[{"count":22,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/posts\/20940\/revisions"}],"predecessor-version":[{"id":20970,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/posts\/20940\/revisions\/20970"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/media\/20941"}],"wp:attachment":[{"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/media?parent=20940"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/categories?post=20940"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.restroworks.com\/blog\/wp-json\/wp\/v2\/tags?post=20940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}