consumer goods & FMCG · ~4 months + hypercare · delivered

GRN reconciliation pipeline

A reconciliation cycle that took finance three months, now runs itself every single day.

₹10Cr/yr write-offs cut ~90%
3 months → daily
100+ invoices/day

The challenge

Goods-receipt reconciliation against invoices was manual — roughly three months per cycle — so bad stock and discrepancies surfaced far too late to act on.

What we built

A daily automated pipeline: pulls PDF invoices from a mailbox, scans and extracts them, loads a database, and reconciles automatically to flag bad stock — end to end, every day, deployed on Azure.

The outcome

Bad-stock write-offs of ~₹10 crore a year cut by ~90%. Reconciliation went from a 3-month manual cycle to daily, processing 100–115 invoices a day.

WANT ONE LIKE THIS?

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FAQ

Questions we get asked about this build

What did Finzarc build for this client?

Finzarc built a daily automated pipeline that pulls PDF invoices from a mailbox, scans and extracts them, loads a database and reconciles goods-receipts automatically to flag bad stock — end to end, deployed on Azure.

What results did it deliver?

Finzarc cut bad-stock write-offs of ~₹10 crore a year by ~90%, and turned a 3-month manual reconciliation cycle into a daily run processing 100–115 invoices a day.

How long did it take?

Finzarc delivered it in about 4 months plus hypercare.

Can Finzarc build something like this for us?

Yes. Bring the problem, leave with a scope — book a call at /book.

Finzarc is an India-based AI & data-engineering studio — production automations, analytics and custom apps for enterprises, first delivery in about three weeks. This is delivered work for consumer goods & FMCG: see how Finzarc ships in about three weeks, or bring the problem and leave with a scope. Working software > promises of future.