The reliable spine
The non-AI spine is the source-linked workflow: clean records, rules, calculations, integrations, exception queues, approvals and reporting for Get on top of quick commerce.
FMCG & Packaged Food
Get on top of quick commerce
Blinkit, Zepto, Swiggy Instamart and BBNow are a real and fast-growing slice of FMCG, and they work very differently from general trade. They charge back for missed stock at the dark store, for late supply, for damages and returns, a whole new stream of deductions, and increasingly demand a listing-cum-ad wallet just for discoverability, with an on-time-in-full score that drives purchase-order volume and SKU delisting reported (platform seller material, sector-level). Except it all lives in a portal instead of on paper, so nobody checks it line by line. Modern-trade chains charge listing fees, demand margins, and enforce hard fill-rate targets, and missing the target means a penalty or a delisting. The terms live in scattered emails and the deductions go unchecked.
Who has it
Packaged-food and snack manufacturers above all, since snacks and packaged food are the heaviest quick-commerce category, plus beverage and dairy makers and bakery, confectionery and ready-to-eat producers where beverages, dairy packs and ready-to-eat sell on the platforms and into Reliance, DMart, Star and regional modern-trade chains; lighter for the pure depot and super-stockist.
What we build
One clean price-and-pack list for quick commerce, the platform's sales, stock and deduction reports pulled into the same place trade claims are checked, every deduction checked against what was actually agreed and shipped, and an alert before a dark store runs out (protecting the OTIF/fill-rate score). The deduction-dispute engine is the same one used for trade claims, the claims-and-settlement engine. For modern-trade chains, each chain's terms kept in one place, a simple fill-rate scorecard (their order, what was shipped, what they accepted, any short or penalty), and their deductions checked the same way trade claims are checked, through the claims-and-settlement engine.
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 Get on top of quick commerce; 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 portal stops being a black box; unjustified deductions get disputed and recovered; the availability score is protected so purchase orders and SKUs are not cut. Fewer penalties, fewer delistings, and recovered deductions that would otherwise have been eaten.
Illustrative outcome
A recovered slice of platform and modern-trade deductions and fewer fill-rate penalties. 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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