--- title: "Super Bowl Food Sales: What Should Stores Stock?" description: "Read Super Bowl food demand with dated sources and clear limits; plan pizza, wings, sides and capacity without confusing consumption with sales." canonical: https://www.ordering.co/blog/whats-the-most-sold-item-during-the-superbowl/ --- # Super Bowl Food Sales: What Should Stores Stock? Read Super Bowl food demand with dated sources and clear limits; plan pizza, wings, sides and capacity without confusing consumption with sales. 6 min read· Marketing and Loyalty Pizza, wings, drinks and party supplies all appear in Super Bowl shopping discussions. There is no universal “most sold item” across those categories. Here is how to read the available evidence and use it to plan a restaurant or store's event inventory and capacity. ## There is no single winner across every kind of store The most-sold Super Bowl item depends on the store, the period and the unit being counted. Pizza orders, individual wings, beverage dollars and television purchases cannot establish one comparable league table. This article's original 2022 examples are historical context; the dated 2025 wing estimate below is not a current-year forecast. For restaurants, start with your own prior event orders and comparable Sundays. For grocery or convenience retail, use your category-level sales. Separate game day, weekend and the whole week. A product can lead in units and contribute less revenue or margin than another. ## Use an event basket rather than a national ranking Build a preparation list around the items your customers buy together: a main dish, shareable sides, sauces and drinks. These are merchandising categories to investigate, not a claim about the most common add-ons on all delivery apps. Forecast ingredient quantities, packaging and preparation time using paid orders, stockouts and cancellations from your own store. The [demand-planning guide](https://www.ordering.co/blog/online-ordering-market-and-demand-planning/) explains how to compare dates and channels without treating a national consumption estimate as a restaurant forecast. ## Pizza: a group-order candidate Pizza fits a group-order menu, but a chain's reported game-day sales would measure only that chain, year and territory. It cannot establish pizza as the winner of all online deliveries. Plan oven capacity, topping combinations, box stock and pickup slots. Test whether a bundle simplifies preparation as well as the customer's choice; a discount is not required for every bundle. ## Chicken wings: a dated consumption estimate On January 30, 2025, the [National Chicken Council projected 1.47 billion wings for Super Bowl LIX](https://www.nationalchickencouncil.org/americans-to-eat-1-47-billion-chicken-wings-for-super-bowl-lix/). That is a US pre-event consumption estimate, not observed restaurant orders, app transactions or proof that wings outsold pizza. Keep the year and unit attached when reusing it. For an operator, fryer capacity, batch timing, sauce portions and packaging are more actionable than dividing that national number by a local market share. Offer only quantities the kitchen can produce within the promised window. ## Beer and other beverages: availability and permissions Beverages can complete a party basket, but the best choice depends on your customers and operation. Keep non-alcoholic options visible. Alcohol sales require the applicable license, age checks, delivery rules and provider scope. Do not infer that an ordering platform or an event promotion grants alcohol permissions. ## What delivery customers commonly add to an order Super Bowl evidence does not answer which add-on delivery-app users most commonly choose throughout the year. A universal ranking would require comparable transaction data across apps, markets and meal occasions. Distinguish optional sauces, paid modifiers and separate side products before measuring them. Use the [upselling flow](https://www.ordering.co/features/upselling-feature/) for contextual suggestions such as a drink or dessert. Ordering.co can personalize recommendations by order history, with a direct Add action; this is a documented product behavior, not a statistic that one category is the most popular. The [configuration documentation](https://docs.ordering.co/docs/products/dashboard/settings/enterprise/features/) explains upselling controls and that the customer must accept the suggestion. Calculate attachment as paid baskets containing the complement divided by eligible paid baskets, using the same store, channel and period. Compare average contribution and checkout completion with and without the suggestion. Check whether an add-on replaces an existing item, causes stockouts or slows preparation. Keep the customer's ability to decline clear. ## Electronics belong to a separate retail plan The original article included television purchases around game day. That is a different category and purchase cycle from restaurant food. A restaurant should not add an electronics sales projection to its delivery forecast. A retailer can instead assess its own promotion timing, stock, fulfillment costs and return exposure. ## Apparel and decorations have their own lead times Team merchandise and party decorations are also separate retail categories. Survey percentages about planned purchases are not a share of total retail revenue. If you sell these products, check licensing rights, delivery cutoff and likely post-event demand. Do not order speculative inventory based on an unrelated food-consumption figure. ## Prepare for the peak you can serve Open preorders only with realistic cutoff times and capacity. Check stock, payments, pickup instructions and delivery coverage, then simulate a busy window and an unavailable item. Review fulfilled orders, contribution, refunds and late orders after the event; avoid evaluating success solely by gross sales. Ordering.co connects ordering channels with catalog, merchant operations, payments and delivery. [Talk to Ordering.co](https://www.ordering.co/contact/) about your event workflow and use the [direct-order checklist](https://www.ordering.co/blog/get-more-orders-online-without-paying-hefty-commissions/) to measure the acquisition path. Launch timing and outcomes depend on the project's scope and readiness. ## Keep reading. - ## [Did you sell on the Super Bowl?](https://www.ordering.co/blog/did-you-sell-on-the-superbowl/) Did you sell on the Super Bowl? Super Bowl just passed, and if you did not increase your sales selling online that day, you have to take a deeper… - ## [Wonder Food Halls: Kitchens, Channels and Ownership](https://www.ordering.co/blog/wonder-food-halls-reinvented-delivery-and-took-back-30-of-every-order/) Understand By Wonder listings, DoorDash and Uber Eats distribution, and Grubhub ownership while evaluating the connected food-hall business model. - ## [Fantuan: From Craving to Super App for Overseas Chinese Communities](https://www.ordering.co/blog/fantuan-from-craving-to-super-app-for-overseas-chinese-communities/) In 2014 two Chinese international students at Simon Fraser University – economics student Randy Wu and friend Yaofei Feng – turned a simple craving into a company. ## See it running on your own menu. The shortest way to understand any of this is to watch an order go from a storefront to a store to a driver, on your locations. 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