Use cases

Work that changed a number the owner cares about.

Anonymised engagements across retail, services, e-commerce and logistics — each one scoped as a single sprint.

Specialty retail · 9 stores

From Friday spreadsheets to Monday decisions

Problem: Sales reporting took two people a full day each week and every store used a different definition of margin.
What we built: Consolidated POS and accounting data into a warehouse, defined shared KPIs, shipped a daily store dashboard.

12 h

manual reporting removed weekly

+3.4 pts

gross margin on core lines

Professional services · 18 people

Problem: Utilisation and profitability were tracked per invoice, not per client, so unprofitable accounts kept renewing.
What we built: Built a client profitability model over time-tracking and billing data, with a partner-level review dashboard.

27%

of accounts repriced or exited

6 wks

to first dashboard

E-commerce · DTC brand

Problem: Stockouts on bestsellers and cash tied up in slow SKUs, with purchasing based on last month's gut feel.
What we built: Weekly SKU-level demand forecast plus a reorder alert feed wired into the operations channel.

-31%

stockout days

-18%

excess inventory value

Regional logistics · 40 vehicles

Problem: Route costs were only visible at month-end, and fuel and overtime spikes were explained after the fact.
What we built: Automated pipeline from route and fuel systems, cost-per-drop model, anomaly alerts within 24 hours.

24 h

from event to insight

reduction in cost per drop

Next step

Tell us which number you want to move. We will say whether data can move it, and how fast.