Case Studies
Construction and manufacturing, ecommerce and distribution, property development, sales pipelines. Every engagement starts with the same question: what is the single step wasting the most time? Here is what happened when we answered it. All studies are anonymised.
Construction / Building Materials
A construction materials manufacturer ran a $60M pipeline through a single sales rep and a CRM no one had time to read. We built a pipeline layer that connects to the CRM API, reconciles every deal into one queryable view, and made it obvious where deals win and where they stall. This engagement is active.
Ecommerce / Shopify
Three specialized, read-only AI agents combed a seven-figure Shopify store in parallel and surfaced roughly $190K in dead inventory, 70+ hours a month of manual work, and $40K to $60K a year in quick wins. The audit ran in six minutes for a few dollars.
Property Development
A husband-and-wife property development team was spending hours a day on manual research and guessed driving routes. A phased Claude Code pipeline turned a day of research into a five-minute morning scan and surfaced an active multi-million dollar land deal.
Construction / Manufacturing
A brick-cladding manufacturer ran sales out of one rep's inbox and the factory out of a whiteboard and one person's memory. Over four months the website, the lead funnel, the sales layer over the CRM and a production app were built and are now run week to week. This engagement is active.
Distribution / Wholesale
A multi-store retailer ran procurement in Google Sheets, tasks in Airtable, and its warehouse in a WMS that was slow to change. We built a procurement and task app on top of the existing systems. The whole warehouse now runs on it, with 1,300 tasks completed. This engagement is active.
Property Development
A property developer kept his build budget in a spreadsheet, separate from his builder's. Invoices were a black box. We replaced it with a Build Budget app that holds one shared budget, links every invoice to a line, and tracks product selections. AI cost prediction is scoped on top of it.
Futureman Labs