Distribution & Trading

Scheme, claim, dead-stock and leak recovery sweep

The business is profitable on paper but leaks rupees through hundreds of small mismatches nobody has time to catch: earned schemes never claimed or short-settled, claims rejected and never re-filed, claim windows expired, supplier price drift and missed slab rebates, dead and obsolete stock sitting unseen, and, for C&F agents, breakage, shortage and damage claims against the principal filed late or never. As reported by industry accounts, manual trackers miss a meaningful share of available scheme claims, worth a low single-digit share of revenue. The leak is real money, in the firm's own data, and recoverable with a line-level trail.

Who has it

Every segment, and the firm's universal entry wedge here: scheme and claim recovery sharpest for FMCG and pharma distributors, dead and obsolete stock sharpest for industrial and B2B distributors and general wholesalers, and consignment claims sharpest for C&F agents.

What we build

A sweep across the firm's own records that surfaces each leak with a line-level trail: a clean claim ledger (every scheme earned, every claim filed, every credit note received) with automatic flags for unclaimed schemes, short-settled claims, rejected-and-never-re-filed claims and expired windows; supplier price-drift and missed-rebate detection against the agreed rate; a dead-and-slow-stock view in rupees against the bank drawing-power statement; and, for C&F agents, the breakage, shortage and damage claim register against the principal. This is the read-only "find the money in your own data" entry product. The recovered figure always traces to the firm's own circulars, credit notes and ledger; every claim filed and settlement accepted is a named person's.

What is automated, where AI helps, who signs off

Automation for the routine. A person on every decision that matters.

The reliable spine

The non-AI spine is the source-linked workflow: the claim ledger, the rules that flag unclaimed and short-settled claims, the price-drift and rebate calculations, the dead-stock view in rupees, the exception queues, approvals and reporting.

Where AI helps

AI is limited to reading the messy paper (free-text scheme circulars, credit notes and supplier invoices), extracting and matching the lines, and clustering the leaks from the firm's own data; it never owns the number, the approval, the promise or the decision.

Who signs off

A named person signs off anything touching money, stock, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.

What changes day to day

The high-value leaks surface while they can still be acted on; the claim ledger ties every scheme earned to the credit note actually received; recovery becomes a recurring sweep, not a one-off audit.

Illustrative outcome

A quantified, line-level recovery report and a recurring sweep that keeps catching leaks each cycle. Illustrative; final numbers come from your own data.

Illustrative; final numbers come from your own data.

Path to the build

How this one gets built.

Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.

Find the one build worth funding first.

A free 60-minute call. No cost, no obligation, just a clear read on what is worth building.