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ConbrakoForce: CRM for Mining Sales

A practical CRM and account-intelligence system for a manufacturing sales team managing mines, contacts, activity, maps, and follow-up.

Project: ConbrakoForce CRM for mining and industrial sales
Tech: Next.js, SQLite, Prisma, Mapbox, Tailwind, Auth, AI-assisted development
Role: Strategy, delivery, and hands-on implementation

The Results

The project converts scattered customer knowledge into a focused sales workspace for a small, relationship-driven team.

Single view
Mines, contacts, interactions, activity, and map context
Phase 1
Core CRM, auth, calendar, and map experience delivered
AI-assisted
PRDs, backlog, and implementation accelerated with agentic coding workflows

The Challenge

Conbrako sells into a relationship-heavy mining market where context is fragmented across people, spreadsheets, memory, and ad hoc notes. The team needed a tool that reflected how they actually sell rather than a generic CRM dumped on top of them.

What mattered

Adoption mattered more than feature breadth. The system had to be simple, visual, and aligned to real sales routines for Leroy, Ferdi, Amanda, and management.

The Solution

I shaped the PRD, data model, and workflow around mines, contacts, interactions, geospatial context, and follow-up cadence, then used AI-assisted development to move quickly from requirements to working product.

Implementation Highlights

Domain model

Structured mines, contacts, interactions, activities, and lists around the way mining sales conversations actually happen.

Workflow UX

Prioritised clickable tiles, activity capture, map views, calendar context, and low-friction follow-up.

Delivery system

Used PRDs, feature-request backlog, and AI coding workflows to turn strategy into a working application quickly.

Next.js SQLite Prisma Mapbox Tailwind Auth AI-assisted development

Impact

ConbrakoForce gives the business a clearer view of account ownership, relationship history, and next actions — the kind of operational system that makes management meetings and field sales sharper.

Before

Scattered
Customer knowledge spread across memory and files

After

Structured
Sales context captured in one workflow

Key Takeaways

Good CRMs are workflow tools, not databases

The value is in helping people remember, prioritise, and act — not in adding another admin burden.

AI accelerates when the domain is clear

The speed came from combining business context, a precise PRD, and iterative AI-assisted implementation.

Need Practical Sales or Operations Tooling?

I design and build systems that fit the business workflow instead of forcing teams into generic software.

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