Results we can put a number on

A UK supermarket had £10m to £15m of discontinued stock stuck in warehouses, with markdown pricing set store by store.

We quantified a 6% revenue uplift, worth £18m, and designed the automated markdown tool to capture it.

A government department was six months behind, reviewing 4,000 contracts a year by hand against new procurement rules.

Review fell from four hours to 25 minutes per contract, clearing the backlog in 11 weeks.

A clinical research organisation identified deals by hand, taking weeks and missing opportunities.

Lead scoring dropped from 40-plus hours to 30 minutes, with $120m+ in new revenue projected over a year.

A heavy industrial manufacturer was losing about £4m a year to unplanned downtime, its sensor data sitting unused.

Predictive models cut downtime by about 65% and delivered £2.8m in measured annual savings.

A software-focused private equity investor held data-rich but siloed portfolio companies with no single customer view.

A reusable data platform and machine-learning playbook drove more than £2m of incremental EBITDA at one company.

A leading asset manager ran its daily reconciliation on manual, error-prone Excel procedures that held up the start of trading.

Automation cut manual processing by over 80% and took 30 minutes a day out of the daily close, opening the desk for trading sooner.