Drive faster QSR deliveries with visibility into live TV events
QSRs are under the constant pressure of delivering hot, fresh food on time, especially during peak demand periods such as Super Bowl Sunday, the second biggest day for take-out orders in the US, second only to Thanksgiving. As people gather around to watch the game, pizza deliveries will increase by almost 60%, with Domino’s alone delivering 2 million pizzas on average each Super Bowl Sunday.
When people gather around to watch highly-anticipated tv events, it typically involves food and drink – naturally driving demand for food delivery higher. By understanding how high-viewership sports games impact their demand, QSRs are aligning their inventory levels, staffing enough drivers, and mobilizing them effectively to ensure prompt deliveries.
The Super Bowl is a prime example of a major televised sports event that drives massive spending for quick serve restaurants, supermarkets, convenient stores, and more across America, with consumers reportedly spending:
$10.8 billion on beer
$2 billion on chicken wings
$387 million on snack foods
$130 million on pizza
While people are parked in front of the TV enjoying the game and the commercials, they want these food items to be delivered – and fast. With the rise of online food ordering and delivery, it has become increasingly important for QSRs to deliver on time.
However, traditional delivery solutions can only take businesses so far. Let’s take a look at how the use of live TV events and predicted viewership data powers improved delivery speeds for fast casual restaurants, and how to use this data to ensure QSR customers are satisfied – even during peak periods of demand.
Use live TV event data to anticipate areas with high delivery demand
Live TV event data forecasts the viewership of major games at the county level, including seven of the top US leagues, and high-viewership sports:
D1 NCAA Football
D1 NCAA Basketball
Plus, the top 100 most-viewed sports games outside of these leagues
QSRs use live tv events to anticipate where demand for their products will be highest, and plan accordingly. Insight into high-viewership sports games combined with an understanding of how these events historically impact them unlocks the ability for these businesses to:
Better align inventory levels with local demand levels to process the influx of orders
Staff enough drivers to meet increased demand for deliveries
Better mobilize drivers to ensure fast delivery times
How to use event data to power on-time deliveries and happy customers
Visibility into demand-driving live TV events and predicted viewership data helps retail, restaurant, and QSR delivery services accurately anticipate demand, optimize their resources, and ultimately improve the customer experience.
Leaders across foodservice and delivery are using TV viewership data in different ways to reduce delivery wait times, ensure orders are promptly fulfilled, and keep customers engaged, including:
Route Planning: One of the largest grocery and snack delivery services in the US uses event data to understand how televised sports impact large geographic zones to optimize route planning and customer experience for grocery delivery. After reviewing key events for the month that are likely to generate large crowds such as concerts, marathons, parades, and more, they inform their delivery drivers about high-traffic areas to avoid so they can select alternative routes.
Delivery Optimization: A US leader in pizza delivery uses live TV event data to anticipate where and when demand will be highest, and adjusts their planning accordingly. This company first used event correlation to reveal the extent to which live TV events influence demand for their pizzas. Now, they leverage insight into county-level viewership for major sports to better allocate resources, and ensure drivers are in the right place at the right time to make quick deliveries.
In-Store Demand: A popular Connecticut-based sports bar uses the data to identify top viewership games each week, choose which games to play on their wide-screen TVs, and to run marketing campaigns around big games coming up such as wing nights and team-based promotions. Similarly, identifying the sports games most likely to foster local excitement can help you select the best programs to attract business to your store locations. Using data provided by a third party, a monthly review of the events that are most likely to be popular in your area unlocks the ability for your team to set a programming schedule that is optimized to draw in a crowd.
These companies make use of PredictHQ tools such as our web application, Polygons, Broadcast API, and more to understand how high-viewership games are impacting their business at the store level and in turn, adjust demand planning based on these insights.
Identify local and televised sports driving demand for your business
This year, the predicted event spend for Super Bowl weekend (February 9 - 12) is $123,780,000 with restaurants representing $34.8 million of the spending – and this is in Phoenix, Arizona, alone. With insights provided by intelligent event data, such as predicted event spend and viewership data, restaurant operators can easily track the impact of these events on their demand and prepare for the influx of customers accordingly.
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