Pollen SLOB Index - Your AI-Powered Inventory Demand & Price Predictor

The Science behind pollen pricing

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.

See it in Lily AI How it Works

Pollen SLOB Index

PSI · Q1 2025
142.6
+12.4%
vs same period last year

160140120100142.6Q1 24Q2 24Q3 24Q4 24Q1 25

Based on 1B+ real trade data points

Live · Updated daily

Dahlia AI

Skincare SLOB pressure rising in MY · SG. Expect 15–20% deeper discounting in Q2.

PSI Global 68.4 ▲
Personal Care 72.1 ▲
Food & Bev 64.8 ▲
Home Care 61.2
Beauty & Cosmetics 73.5 ★
Health & Wellness 58.9 ▼
Baby & Child 66.3 ▲

1B+
Data points from real FMCG inventory trades

60+
Product attributes tracked per SKU

Millions
Of SKUs tracked across SEA and India

Daily
Index refresh — not monthly. Not quarterly.

What is SLOB?

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.

Slow-Moving Stock

Products that haven't sold as fast as expected. Still good — but the clock is ticking.

Obsolete Stock

Discontinued products, old formulas, failed launches. Value drops fast — move it or write it off.

Near-Expiry Inventory

Under 6 months of shelf life. PSI tracks how much of this is in the market — by category and region.

What PSI Tracks

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.

Powers Dahlia AI

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.

Powers Fern AI

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.

Powers the Platform

Market Trends

PSI tracks how excess inventory pressure shifts over time — which categories are flooding, which are clearing, and where regional patterns are forming.

Discount Depth by Category & Region

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.

Real Trade Data

Real completed deals. Not broker quotes or industry surveys.

60+ Attributes

Category, expiry, region, format, lot size — everything that affects what you get for your stock.

Fully Anonymised

No one is ever identified. Market-level numbers only — your data stays private.

Daily Refresh

Recalculates every 24 hours. Not monthly. Not quarterly.

Built For You

Who Uses PSI

From procurement teams to C-suite executives, the PSI serves every stakeholder in the FMCG ecosystem.

Enterprise

FMCG Brands & Manufacturers

Monitor your brand's SLOB performance against industry benchmarks. Identify problem SKUs before they become write-offs.

Intelligence

Retailers & Distributors

Understand supplier inventory health to optimize purchasing decisions and negotiate better terms.

Research

Analysts & Investors

Use PSI as a leading indicator of sector health, operational efficiency, and potential margin pressure in FMCG.

Looking to buy excess inventory in bulk? Click here!