Smarter staffing and stocking with demand intelligence

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.

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Calculate the Impact of Events on Retail Demand

Select any global retail location to instantly estimate spend from nearby events

The Suggested Radius automatically returns the optimal radius based on your business type and the location that gives you just enough relevancy for your location, while excluding irrelevant events that likely wont have an impact.

Event Impact over next 90 days

  • Predicted Attendance

    The predicted number of people attending events within a location

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  • Attended Events

    The sum total of Attended Events (e.g., sports, festivals, concerts, conferences, expos, and community)

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  • Suggested Radius

    Suggested Radius is the optimal radius based on your business type and the location that gives you just enough relevancy for your location, while excluding irrelevant events that likely wont have an impact.

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  • Predicted Event Spend (USD) - All Industries

    This figure is calculated from our core PredictHQ data, enriched by local economic indicators and partner data

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  • Accommodation

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  • Restaurants

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  • Transportation

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Event Trends Graph

The Challenge

Events drive billions in retail spending but are hard to track

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.

Our Solution

Know which events are your demand catalysts and prepare for them

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.

01

Better Forecasts

Waste less stock and ensure you don't run out of any early.

02

Smarter Rostering

Use events to know exactly how many staff you'll need.

03

Network Management

Distribute resources across your stores more effectively.

01

Better Forecasting

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.

02

Smarter Rostering

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.

03

Network Management

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.

    curl -X GET "https://api.predicthq.com/v1/events/?category=concerts&active.gte=2020-01-01&within=1mi@47.6062,-122.3321"
  -H "Accept: application/json"
  -H "Authorization: Bearer $ACCESS_TOKEN"
  

Customer Stories

More accurate forecasts at scale targeted by suburb and store

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

Who else uses PredictHQ?

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