Client engagement — anonymised
A set of scheduled analytics jobs that read the operational database every day, look for patterns a person would never spot by eye, and email the right manager when something looks wrong — while there is still time to do something about it.
The whole analysis written as versioned scripts reading directly from the database. Same logic every run, reviewable, and no chance of somebody breaking a formula.
The same checks run across several time windows, so a pattern that only becomes visible after several days is still caught — and flagged more urgently the longer it persists.
Deduplication, name and code standardisation and validation run before any analysis, so results are not quietly wrong because of messy source data.
Findings emailed automatically to the specific manager responsible, as a short exception list rather than a large report nobody opens.
A four-branch pharma distributor ran inventory in one system, billing in another and accounts in spreadsheets. Batch and expiry tracking existed only in a storekeeper's memory. We consolidated onto a single ERP with batch-level traceability and automated the reconciliation that three people were doing by hand.
Selling on its own website plus four marketplaces, the brand was overselling roughly 4% of orders and eating cancellation penalties and rating damage. We built a single inventory truth with near-real-time propagation to every channel, plus automated settlement reconciliation.
Production planning ran on a whiteboard, job cards were paper, and quality data was typed into Excel twice. We digitised the shop floor flow and automated the reporting layer above it, without replacing the ERP the company had already invested in.
Most of these started with a 30-minute call and an honest diagnosis.