Data Riders
Industry · Retail

Expiration dates, shift scheduling, and sales in the same conversation.

In retail store chains, expiration waste, poorly sized shift schedules, and out-of-stock items erode margins every day. The signals are already in POS, inventory, and time clock data.

3solutions for the sector
3dores mapeadas
6platform services included
30 minfor the first conversation

Data and AI in retail

In retail store chains, expiration waste, poorly sized shift schedules, and out-of-stock items erode margins every day. The signals are already in POS, inventory, and time clock data.

We build engines and dashboards that reveal where margin is leaking and help each store take action that same day.

Solutions for retail

Shown without client names. What does not exist yet, we build for your process.

Pain points we hear

I need reduce expiration wasteProducts expiring on shelves without timely intervention turn into direct losses. Each store finds out too late.
I need build store-level shift schedulesSpreadsheet-based schedules fail to follow store traffic patterns: understaffed during peaks and overstaffed during lulls.
I need understand why sales declinedSales drops have many potential causes. Without a structured method, companies test the wrong hypothesis first.

What do you want to solve?

The platform that comes with it

Included in every solution

Six platform services, monitored by Data Riders Core.

View the platform
Hosting and operationsPublished versions, staging environment, and rollback to previous versions
Email and notificationsNotices, invites, and reports from the solution's address
CybersecurityPasscode login, user roles, access logs
AI governanceRisk assessment per agent, versioning, and roadmap
People in chargeOne person accountable for results; you approve each cycle
Continuous monitoringHealth, usage, and cost against the cap, around the clock

A 30-minute conversation

Only your name is required, along with a way to reach you. The rest is optional.

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