Event data is used by leading food, grocery, liquor, and snack delivery companies to avoid event-driven traffic jams and ensure faster, more reliable delivery estimates.
When your drivers know where to expect high demand, they can be prepared to make the most deliveries possible.
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Whether your business delivers groceries, meals, or serves as the go-to for on-demand liquor delivery, your company’s reputation depends on two things: quick turn-around and reliability. Sudden traffic jams slow down deliveries, delay your customer’s plans, and negatively impact the customer experience– all of which can encourage users to try another delivery service next time.
You can’t control traffic, but you can use event data to preempt and avoid it before it even begins to clog up roads. On-demand businesses have to be real-world aware, and event data is critical to understanding traffic, people, and demand flow through your key neighborhoods. Getting ahead of competing traffic apps and services is a serious advantage as it enables you to promise shorter delivery times and more reliable service–meaning a happier customer base.
Empower your network of delivery drivers to plan around event-driven traffic and delivery disruptions days in advance.
Enable drivers to visualize the impacted area of dynamic events such as severe weather, marathons, parades, and school holidays on a map.
Track unscheduled events at scale to be able to act quickly and ensure a positive customer experience even during periods of high demand.
Avoid event-driven traffic. Intelligent event data makes you and your team real-world aware so you can plan for traffic and delivery disruptions days and even hours in advance. Use PredictHQ to track the major events or clusters of smaller events with large total impact happening around you.
This foresight enables you to avoid traffic, plan the best possible strategies around traffic jams, and provide more accurate delivery estimates for customers compared to the on-demand services that are less proactive and less data driven.
Accurately identify the geographic area impacted by events that do not happen at a specific location or venue. Events such as hurricanes, marathons, and parades cover more than just a point on a map and can be tracked using Polygons. By ingesting accurate information around the impacted area, your traffic models and teams can more accurately understand and prepare for event impact.
Surface these visuals so your driver network can easily identify whether a major event will impact main roads or regular travel routes. Similarly, if a parade or marathon’s route and the related surge in delivery demand is likely to impact access to restaurants or warehouses that supply your drivers, you can also factor this into your planning.
Traffic jams are also caused by unscheduled events such as sudden severe weather warnings and events, natural disasters, health warnings, and more – which are important to track for driver safety, risk management and proactive customer support.
Whether it’s explaining why your service is on hold, why wait times are longer than usual, or turning off customer-facing surges to avoid PR backlash, being aware of the challenges out in the field means you can more efficiently manage traffic and related customer experiences.
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 StoryYour business operations and strategy can define your success and save your team time. Accurately predict when and where demand will hit with important details your teams and machine learning models can process quickly.
Empower customers to make informed, data-driven decisions for each of their business locations
Provide end users with powerful event insights that drive better business outcomes
Better mobilize your delivery network and help them avoid traffic jams for faster deliveries
Don’t be thrown off with a sudden influx of demand. Better plan for higher yield and occupancy
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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.
Visualizations & Insights
Targeted Marketing
Inventory Management
Workforce Optimization
Dynamic Pricing
Demand Forecasting
Event Visibility