S10-U. Own-Manufactured SKU vs Own-Channel Sell-Through (UPI-Specific)
Published 2026-05-14Updated 2026-06-302 min read
Uni-President differentiator ⭐ — the core of manufacturing-distribution vertical integration: analyze how own Uni-President Food SKUs turn over in own channels (7ELE · Carrefour) versus external channels.
1. URL · Persona
/own-sku· P5 (Manufacturing · Logistics · Stores)
2. User Story
P5 — Compare Uni-President Mai-Hsiang (麥香) oolong-tea sell-through across 7ELE vs Carrefour vs external (FamilyMart · Hi-Life) + decide shipment priority for new SKUs.
3. Data Mix
| Data | Source |
|---|---|
| OwnSKU (own-manufactured) | Neptune (~5K SKUs) |
| CVSTransaction (7ELE) | Neptune |
| HypermarketTransaction (Carrefour) | Neptune |
| External sell-through (estimated) | CompetitorSignal (public sales index) |
| Cold-chain shipment log | ColdChainSLA |
4. Processing Pipeline
1. Map OwnSKU nodes → manufacturing BU
2. Aggregate turnover in own channels (7ELE / Carrefour)
3. Estimate external-channel turnover (CompetitorSignal + public market share)
4. Compute own-vs-external ratio
5. Recommendation: prioritize own shipment (inventory protection) vs expand external
5. Output UI
- Left: Top-30 own-SKU turnover bars (own vs external)
- Center: Own-channel dependency per SKU (donut)
- Right: New-SKU shipment-priority recommendation (Sonnet)
- Bottom: Seasonal turnover trend
6. Guardrails
- Block external exposure of own-SKU unit pricing and margins
- Mark confidence on externally estimated data
7. Demo Scenarios
- Mai-Hsiang (麥香) oolong tea → own-channel turnover 65% / external 35%
- New-SKU shipment recommendation → 7ELE first (high own-channel dependency)
- Per-category own-channel dependency → beverages 70% / noodles 55% / dairy 80%