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CRM Platform

A generic CRM had been abandoned because it demanded data entry that did not match how the team sold. Leads leaked between stages and forecasts were built from opinion rather than pipeline data.

Project type
Sales platform
Industry
B2B services
Domain
Business
Delivery
Pipeline and capture, then quoting and forecasting

Technologies

  • React
  • Spring Boot
  • PostgreSQL
  • Redis
  • Email & calendar sync
Data entry
Mostly automatic
Pipeline
Custom stages
Forecast basis
Stage data

These describe scope and architecture. We do not publish performance figures we cannot substantiate.

Business problem

A generic CRM had been abandoned because it demanded data entry that did not match how the team sold. Leads leaked between stages and forecasts were built from opinion rather than pipeline data.

Our approach

We modelled the organisation's actual sales motion as explicit stages with entry criteria, then removed manual logging wherever possible by syncing email and calendar activity automatically.

Result

The pipeline reflects reality because updating it costs the team almost nothing. Forecasts are derived from stage data, and handovers survive staff changes because history stays with the record.

What was built

Key features

The capabilities that mattered most to the outcome.

  • Custom pipeline stages with entry and exit criteria
  • Multi-source lead capture including web and WhatsApp
  • Quotation generation with approval workflow
  • Territory, target and forecast reporting
  • Automatic activity logging from email and calendar
Engineering

Technologies used

Chosen for the requirement rather than by habit — we explain the trade-offs before building.

React
Spring Boot
PostgreSQL
Redis
Email & calendar sync

Your project would not necessarily use the same stack. We choose per requirement, and we will explain the reasoning before anything is committed.

Next step

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Preferred contact method

Your details stay confidential and are never sold or shared.

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Seyffluo Technologies

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