Business questions answered instantly.
Case · Retail
A retailer with sales, inventory and purchasing data spread across systems that didn't talk to each other. Management depended on manual reports for every question.
Architecture
From scattered systems to a single source.
The experience
Business questions answered instantly.
Sales, inventory and purchasing spread across systems that didn't talk to each other. Management depended on manual reports for every question.
Challenge
Separate systems and figures that didn't match.
Solution
Data marts by area and an analytics assistant.
Outcome
Natural-language questions, with sources.
Subject to client permission
Analytics assistantTeams · Slack · Web
How much did we sell yesterday by store versus the same day last year?
Metry · Assistant
Yesterday's net sales beat the same day last year in 8 of 12 stores. Store 5 leads the growth.Prior yearYesterday
select tienda, sum(venta_neta) … from ventas_diarias where es_fecha_comparable
Illustrative interface · fictional data
Outcome
One version
Sales and inventory match across departments.
Direct questions
Management asks directly, without requesting reports.
A base to grow on
New use cases on the same model.
Case published subject to client permission · impact figures pending validation
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