Industry · Retail
Retail use cases
Demand, availability and service signals connected across channels so commercial and operational decisions use the same evidence.
- 01Retail
Availability protection
Detect coverage risk by location before customers see an empty shelf.
- Trigger
- Store-level coverage for a line drops below the replenishment cycle.
- What Kruise does
- Kruise combines store stock, sell-through, inbound and planogram minimums to date the gap per location.
- Outcome
- Replenishment or transfer is triggered before availability is lost.
Signals used · Store stock · Sell-through · Inbound flow
- 02Retail
Order-to-shelf flow
Measure replenishment end to end, including every handoff.
- Trigger
- Replenishment lead time is measured in segments, so the real bottleneck stays hidden.
- What Kruise does
- Kruise stitches the full order-to-shelf path with dwell at each handoff and location.
- Outcome
- The slowest handoff is fixed instead of the most visible one.
Signals used · Replenishment orders · DC and transit events · Store receipts
- 03Retail
Service recovery loop
Link customer issues back to the fulfilment events that caused them.
- Trigger
- Complaints are resolved individually and their operational causes are never aggregated.
- What Kruise does
- Kruise ties each issue to the pick, pack, transit and store events involved.
- Outcome
- Recurring causes are removed and repeat contacts fall.
Signals used · Customer issues · Fulfilment events · Store operations
- 04Retail
Promotion outcome review
Explain commercial results with operational context attached.
- Trigger
- A promotion under-delivers and the review cannot separate demand from execution.
- What Kruise does
- Kruise compares planned versus actual availability, delivery and compliance alongside sales outcome.
- Outcome
- The next promotion is planned around what actually limited it.
Signals used · Promotion plan · Availability history · Sales results
Use cases shown are indicative and confirmed per deployment.