Unexpected surges in demand hit even the most experienced demand forecasters. Major retailers use PredictHQ’s intelligent event data API to align their staffing and inventory strategies to future demand, saving millions. Here’s how.
Demand Forecasting: Incorporating events into models for smarter forecasting.
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Demand Forecasting: Incorporating events into models for smarter forecasting.
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.
Inaccurate staffing is a major cost that needs proactive management, as are out-of-stocks and overstocks, which cost more than $1.1 trillion globally each year. With so much demand driven by events, retailers know they need to track impactful events near them, but it's complex and costly to do accurately.
Let PredictHQ track high-impact events for you, to equip your team with expert local insight for each store’s context at scale. Our systems aggregate and verify events from hundreds of sources and then rank relevant events by impact. Our API can be plugged into any platform or model to start delivering value quickly.
Waste less stock and ensure you don't run out of any early.
Use events to know exactly how many staff you'll need.
Distribute resources across your stores more effectively.
As the new normal takes shape, retailers need more reliable and resilient ways to predict staff and stock requirements. This must include an understanding of which events impact demand and footfall near their stores.
Use PredictHQ’s seven years of historical event data to discover which events impact your stores most, and then factor these events into forecasts with our API.
Staffing is one of the biggest costs for retail and QSR businesses yet MIT’s School of Management found staffing stores accurately can lead to a 10% increase in sales. So you need to get it right.
Move beyond "we had a spike here last month" by discovering which events drives demand and footfall surges in advance to make your stores more profitable.
Make the most of your network by identifying each event's footprint and allocating staff and stock accordingly.
PredictHQ's feature engineering means your team can efficiently prioritize the events that matter. Use Radial Search to find events around each store and our predicted attendance to understand their impact. Because it's not just major events impacting retailers, smaller events clustered around stores create significant impact that would previously have caught your team unprepared.
Legion Technologies uses PredictHQ's demand intelligence to create 98% accurate retail staffing models without wasting data science team time.
Don't underestimate how much effort it takes to work with event data... Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us.
Read Legion’s Story 
Improve your forecasting models for more accurate demand predictions
Visualize event data through BI tools like Tableau or Observable to better understand impact
Get value from demand intelligence by being able to search and identify relevant events efficiently.
Know impactful events in advance and adjust prices sooner
Predict future demand fluctuations and optimize staffing schedules
Identify demand catalysts to improve supply chain efforts and inventory levels
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.
Grocery & Supermarkets
Human Capital Management
Consumer Packaged Goods
QSR
Accommodation
Aviation
Transportation