The reliable spine
The non-AI spine is the source-linked workflow: clean records, rules, calculations, integrations, exception queues, approvals and reporting for Trade-claims and expiry engine.
Pharma & Nutraceuticals (Manufacturing)
Trade-claims and expiry engine
As a maker selling through distributors, the firm funds schemes, carries an expiry-and-breakage return liability, and settles a stream of trade claims, the least-controlled line in the business. Claims get claimed twice, claimed past the window, valued at the wrong price, and settled on terms that already changed. Expiry compounds it: stock that ages past its near-expiry window without a first-expiry-first-out discipline becomes a return or a write-off. The biggest single spend, the API or key starting material and the solvents, is price-volatile and bought on a moving market, and the true landed cost by lot, the weeks of coverage at current stock, and the consumption per kg are unmeasured. A purchase above the maker's own recent average, or a quiet rise in consumption per kg, is real money lost in the maker's own bills and stores. The business is profitable on paper but quietly leaks rupees through hundreds of small mismatches nobody has time to catch: double-claimed schemes, mis-valued returns, platform and institutional deductions accepted unchecked, and expiry written off without warning. The leak is real money, it is in the maker's own data, and it is recoverable with evidence.
Who has it
The signature build for formulation manufacturers, for nutraceutical and supplement producers carrying distributor and platform returns, and for contract and loan-licence makers wherever they own the trade.
What we build
One scheme master and one claim format, the ERP connected so claims check against actual sales and batches, and an automatic match of every claim and return to its rule, its invoice and its batch. Paired with the expiry engine: batch-and-expiry-aware stock with a first-expiry-first-out dispatch rule and tiered near-expiry alerts so stuck stock is liquidated or returned before it becomes a write-off. A true-landed-cost-by-lot view, weeks of coverage at current stock, consumption per kg against standard, and an alert when a purchase is above the firm's own recent average. We do not trade or forecast the market; we make the buying and the consumption visible so the owner acts on his own numbers. A quantified, line-level recovery sweep across the maker's own records, claims vs rules vs invoices vs batches, deductions vs agreed terms, expiry vs FEFO, and then a recurring sweep that keeps catching the leak every cycle. This is the firm's universal entry wedge for pharma and nutra, the read-only "find the money in your own data" demo.
What is automated, where AI helps, who signs off
Automation for the routine. A person on every decision that matters.
Where AI helps
AI is limited to bounded reading, extraction, matching, clustering or drafting from the firm's own data for Trade-claims and expiry engine; 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
Double-claimed, out-of-window and mis-valued claims stop being settled; expiry exposure is seen and acted on while stock can still move; the least-controlled line in the business comes onto rules. Off-average purchases and consumption drift surface while they can still be acted on; the promoter sees his true input cost instead of guessing it. The hundreds of small mismatches become one ranked, evidenced recovery list, then a recurring sweep; the least-controlled line in the business stops leaking quietly.
Illustrative outcome
A share of trade-claim and deduction value recovered as wrong or unsupported, and expiry write-offs cut by acting on near-expiry stock in time. Visible landed cost and a low single-digit percent of input spend recovered by acting on off-average buying and consumption drift. A line-level recovery figure on the maker's own records, then a recurring sweep that keeps the recovery in place 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.
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