Case study — a premium homeware omni-channel retailer
Getting every system to agree about every sale
Sales, payments and stock now flow between systems automatically, and daily reconciliations turn month-end cross-checking into a short exception list.
- Python
- REST APIs
- SQL
- scheduled workflows
The challenge
A premium homeware retailer we’ve worked with for years runs its business across systems that grew up independently: point of sale in the showrooms, an e-commerce storefront, order and inventory management, payment providers and the accounting system. Each was right about its own corner of the business — and no two of them fully agreed. Confirming that every sale, refund and settlement landed correctly in the books meant manual cross-checking every month, and discrepancies surfaced weeks after anyone could still explain them.
What we did
Building on years of work across the retailer’s data estate — warehouse, BI and feed monitoring — we connected the operational systems directly. Orders, payments and stock movements now flow between the storefront, point of sale, order management and accounting through automated integrations instead of re-keying and spreadsheet exports.
On top of the integrated flow we built automated reconciliations. Every transaction is matched across the systems it touches — order to payment to settlement to ledger — on a daily schedule. Matches pass silently; mismatches surface as an exception list with the underlying records attached, the day they happen.
The outcome
Month-end went from days of cross-checking to reviewing a short list of exceptions, each already traced to its source records. Discrepancies are caught while they’re still explainable — a settlement delay, a refund keyed in one system but not another — instead of being archaeology. And because the systems now feed each other directly, the finance and operations teams work from figures that agree by construction, not by correction.
Working in omni channel retail? We should talk.