Top-10 e-commerce platform, IndiaLive
A self-hosted pricing engine benchmarks the whole catalogue and recommends SKU-level changes. Sales lift remains a target, not a measured result.
Delivered by our founding team at a previous firm. Clients anonymised under NDA.
Pricing millions of SKUs, without leaking the catalogue. Routing proprietary catalogue and margin data through a hosted multi-tenant model was not acceptable; sampling misses the long tail where margin leaks.
A purpose-built, self-hosted pricing and coverage engine trained on the catalogue, running inside the platform's own environment. It benchmarks every SKU, surfaces pricing moves at catalogue scale and gives SKU-level recommendations on a live dashboard. A small role-specific model, owned, not a rented generalist.
Pricing and coverage benchmarking now runs across the whole catalogue, not a sample, with the catalogue and margins never leaving the perimeter. The engagement is measured against a targeted 15% sales lift at SKU level. A small owned model runs inside the perimeter instead of a hosted generalist model.
Delivered by our founding team at a previous firm. Clients anonymised under NDA.
Proprietary data stays inside.
Benchmarks every SKU, not a sample.
SKU-level recommendations on a dashboard.
Live. Delivered by our founding team at a previous firm. Clients anonymised under NDA.
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