Retail
Intelligence for Retail.
Retail performance depends on thousands of store, SKU, promotion and customer signals moving together. Canyon Data Labs gives teams one view of sell-through, stock, execution quality and replenishment priorities.
Retail Priorities
See what is happening at the shelf.
Store Performance
Separate location problems from execution problems.
Store sales, basket behaviour, inventory, staff execution and local demand are compared against peer stores and expected potential.
SKU Availability
Catch stockouts and overstock early.
Sell-through, current stock, replenishment lead time and promotional demand are used to flag where availability or excess inventory will hurt performance.
Customer & Promotion
Understand which offers drive repeat behaviour.
Promotion performance is connected to cohort behaviour, basket mix and post-campaign retention rather than only campaign-period sales.
Use Cases
Daily retail decisions with less guesswork.
01
Store Review
Rank stores by performance, potential, availability risk and execution gaps.
02
Replenishment
Recommend stock movement based on sell-through, lead time, events, promotions and store velocity.
03
Promotion Readout
Measure uplift, margin impact, cannibalisation, customer response and post-offer retention.
04
Assortment Tuning
Identify local SKU opportunities and delist candidates by store cluster and customer segment.
Connected Metrics
Retail intelligence from stockroom to customer.
Store Health
Sales, margin, availability, footfall, basket and execution quality.
SKU Movement
Sell-through, stock days, replenishment risk and local assortment fit.
Promotion Quality
Uplift, margin, cannibalisation, cohort response and repeat purchase.
Customer Cohorts
Frequency, basket mix, churn risk, loyalty behaviour and campaign response.
Stop reporting the past.
Start deciding the future.
Every engagement begins with a structured Discovery Workshop on your real data.