Leading food, grocery, liquor, and snack delivery companies use event data to ensure they have enough driver partners ready to meet demand, and to avoid event-driven traffic jams.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
Select any global on-demand delivery location to instantly estimate spend from nearby events
Predicted Attendance
Attended Events
Suggested Radius
Predicted Event Spend (USD) - All Industries
Accommodation
Restaurants
Transportation
On-demand customers expect immediate solutions to their problems. As far as customers are concerned, there’s no excuse for slow delivery service – especially with so many alternatives vying for their business. But connecting the dots between external factors such as local events and weather cause fluctuations in demand that must be factored in for accurate driver mobilization and quick service.
Reliable insight into future demand enables on-demand delivery companies to better anticipate delivery times, compete for driver and on-demand partner share, and ensure a positive customer experience. By determining in advance when consumers are going to be ordering for delivery based on events or preempting traffic, on-demand organizations are better prepared to have drivers ready at a given location, or to avoid certain roads and areas.
Pinpoint the local impact of televised sports + improve forecast accuracy with our predictions for future games.
Keep your drivers informed in order to reach more consumers and fulfill their orders on time, every time.
Many types of events don’t occur neatly at a point on a map and impact a large area. Use PredictHQ’s Polygons to understand what areas your drivers should avoid or at least be aware of.
Major televised sports games cause highly-localized surges in demand across the country, especially for on-demand services like food and liquor delivery. PredictHQ’s Live TV Events data tracks the seven top US sports leagues, as well as the top 100 most viewed events such as NASCAR races, so you can easily identify the impact of TV viewership on demand and make business decisions accordingly.
Integrate accurate, ready-to-deploy predicted viewership data into your machine learning models so you can better predict demand during key games or simply surface the data through our Web UI so you can be prepared and tell your drivers where and when to expect surges in delivery requests.
Integrate intelligent events to enhance forecast accuracy or planning to ensure you have enough drivers online and ready to meet surges in demand. Aside from Live TV Events, PredictHQ tracks 18 other event categories that could potentially impact delivery demand. Think concerts, school holidays, severe weather events and more. Understand the types of events that impact your business to know how many customers will be placing orders in advance. You can use targeted marketing hours in advance to incentivize your driver network to hit the road to meet this anticipated demand.
More drivers on the road powers the ability to reach more customers, fulfill their orders in a timely manner, and receive glowing customer feedback. Consistently high rates of customer satisfaction encourages users to choose you, and recommend your service to their family and friends.
Few things are more frustrating than realizing your customers are going to be waiting longer than you promised, especially when it’s not something your team can solve immediately. One of the highest impact factors outside of your control is traffic.
Event data makes your team and your machine learning models more real-world aware so you can plan for traffic and delivery disruptions in advance. Plus, PredictHQ’s Polygons enables you to see the full area impacted by an event represented as a shape versus just a point on a map, meaning you will get a much more accurate picture of impact. You can not only avoid traffic or devise the best possible strategies around it, you can also provide more accurate delivery and/or arrival estimates for customers than the on-demand services that are less proactive and less data driven.
On-demand delivery companies need powerful, comprehensive intelligence tools to inform their forecasts. Learn how food delivery customers such as Favor are leveraging event data to improve planning, demand forecasting, and to better mobilize their driver networks.
The granularity and diversity of PredictHQ’s event categories has helped us get the full story, enabling us to identify and understand demand within individual neighborhoods at scale.
Read Favor’s Story
Improve your AI/ML forecasting models for more accurate predictions
Identify demand catalysts to improve supply chain efforts and inventory levels
Get value from demand intelligence by being able to upload locations, search and identify relevant events efficiently
Unlock better targeting and timing for your ad campaigns with privacy-safe event data
Know impactful events in advance and adjust prices sooner
Reduce labor costs and improve profitability by scheduling around events
Visualize event data through BI tools like Tableau to better understand impact
Ensure your network of delivery drivers is prepared based on demand from events
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Consumer Packaged Goods
Transportation
Grocery & Supermarkets
Retail
QSR
Parking
Aviation
Accommodation
Location Intelligence
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