Turning point-of-sale noise into daily decisions
A representative build: nightly point-of-sale ingestion turned into plain-language guidance: what to restock, what to promote, what to retire.
Sales velocity · last 12 weeks
Restock: oat milk +18%Restock
oat milk, sourdough
Promote
cold brew, week 42
Retire
seasonal bundle B
35+
Locations covered
18%
Less dead inventory
5 min
To daily insight
100%
Nightly refresh
The challenge
Representative project: a retail chain with dozens of locations needed to understand what sells, where and when, without hiring a data team. Point-of-sale exports piled up nightly, and managers made stocking decisions on gut feel.
Our approach
We built an analytics suite that ingests point-of-sale data nightly and surfaces plain-language insight: what to restock, what to promote, what to retire. Location comparison views make outliers obvious, and recommendations arrive where managers already work. No dashboards to babysit.
Results
Smarter stocking decisions in week one
Measurable reduction in dead inventory
Managers finally trust the numbers