How Pollen knows
what your inventory
is worth.
Every price recommendation Pollen makes is backed by PSI — a live index built on 1 billion real FMCG trade data points, tracking what brands actually recover for unsold stock across SEA and India.
Built by Pollen. Powered by Dahlia AI. Open to the industry.
Data points from real FMCG inventory trades
Product attributes tracked per SKU
Of SKUs tracked across SEA and India
Index refresh — not monthly. Not quarterly.
Slow-Moving & Obsolete Stock. Every brand has it.
Stock that didn't sell — overproduced lines, old formulas, returns, near-expiry goods. Most brands lose 3–8% of revenue to it every year and have no benchmark to know if they're getting a fair price when they clear it.
PSI is the answer. It's the data engine that powers every pricing recommendation and demand signal inside Pollen — so brands aren't guessing, they're benchmarking against the real market.
Products that haven't sold as fast as expected. Still good — but the clock is ticking.
Discontinued products, old formulas, failed launches. Value drops fast — move it or write it off.
Under 6 months of shelf life. PSI tracks how much of this is in the market — by category and region.
Three signals.
One index.
PSI monitors three dimensions of the excess inventory market continuously. So Pollen's recommendations are always grounded in what's actually happening.
Buyer Demand
PSI tracks what verified B2B buyers are actively sourcing : by category, region, and format. This is what Dahlia uses to match your stock to real demand.
Recovery Pricing
PSI benchmarks what brands actually recover — by category, region, and shelf life remaining. Fern AI uses this to recommend a price, not pull one from thin air.
Market Trends
PSI tracks how excess inventory pressure shifts over time — which categories are flooding, which are clearing, and where regional patterns are forming.
Built on real trades.
Not surveys.
Not estimates.
Every number in PSI comes from a real trade — what a brand actually accepted, what a buyer actually paid. Aggregated and anonymised, but never made up.
Every data point traces back to an actual excess-inventory transaction, not a survey response.
Aggregated by category, region and channel. Individual brand data is never exposed.
The index updates every 24 hours as new trades flow through the Pollen platform.
Category, expiry window, region, channel type, packaging, and more — per SKU.
Pricing and recovery teams
who need a defensible benchmark.
Set recovery prices with a market benchmark instead of internal guesswork.
Know when to liquidate, when to hold, and what recovery rate to expect.
Defend write-downs and recovery forecasts with an external market index.
Looking to buy excess inventory in bulk? Click here!