Stock the Perfect Shelf, every time

Knowing exactly how much inventory a store needs at any given moment is a dynamic issue. Out-of-stocks and overstocks cost retailers more than $1.1 trillion globally each year. Our grocery store partners are using our intelligent event data to as they strive to stock the “perfect shelf”. Here's how.

The Challenge

Inventory planning is usually tedious and time consuming

Many stores rely on their employees to scope out shelves to avoid over-stocking and out-of-stock items. Beyond seasonal trends, it is difficult to know ahead of time which items will be in high demand and when. Because of this, grocery stores are susceptible to issues such as supply shortages, over- or under-staffing, and overall demand planning inaccuracies.

Our Solution

Access external factors when planning for future demand

Let PredictHQ show you when impactful events will affect your stores. Our systems aggregate and verify millions of events, and we have seven years of historical data that will reveal event impact on your historical demand. Use this insight and our APIs to prepare for future demand impact, increasing inventory flexibility and planning accuracy.

01

Get demand insights at scale

Track which events are going to drive customers to your stores across all locations.

02

Explore demand causal factors

Analyze different events to understand how they affect incremental (increased) and decremental (decreased) demand.

03

Plan for Unscheduled Events

Make sure that you have a plan in place for when impactful unscheduled events occur.

01

Get demand insights at scale

Many businesses understand that events impact demand, but for grocery stores, quantifying this is exceptionally tricky. It’s difficult to understand how events impact demand when you don’t have comprehensive event visibility around your stores. Tracking these insights across many stores and locations makes this even harder. PredictHQ’s demand intelligence provides a single source of truth for relevant events, so you can know which will impact inventory levels, assortment planning and resource schedules.

02

Explore demand causal factors

PredictHQ tracks 19 event categories so you can know which factors influence your stores and customers. Use PredictHQ’s years of historical data to find patterns with your own internal knowledge base to identify which events cause high demand days, specific product out-of-stocks, and more.

For example, some grocery groups have found School and Public Holidays drive more people to your stores; that severe weather leads to increased demand for canned goods and beverages; and that sporting events lead customers to buy more barbecue supplies.

03

Plan for Unscheduled Events

Shift your strategy to be proactive, not reactive, when unscheduled events impact your customer needs and store operations. You can't predict disruptions such as severe weather and health warnings ahead of time, but you can have a data-driven strategy ready to go, built on the demand impact of similar events in the past. Combining this with future-looking data means you’ll never be caught off-guard by unscheduled events and operational disruptions again.

Customer Stories

Trusted by Fortune 500 companies

Companies like Uber, Domino’s, and Amazon Alexa use PredictHQ's event data. Incorporating demand intelligence is a priority for any company in a competitive market.

Labor forecasts are 98% accurate, and thanks to machine learning, the forecasts continually get up to date, enabling organizations to make the best staffing and revenue decisions.
Read Legion’s Story

Who else uses PredictHQ?

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