AI-enhanced B2B prospecting: multi-channel sourcing, lead scoring and message personalization.
B2B prospecting SaaS that automates sourcing, scoring and outreach. The product ingests company contacts from multiple sources (Pages Jaunes, Pappers, GoAfrica, Google Maps), enriches the data through OpenAI and generates personalized messages that drop directly into client CRMs. Built for agencies and B2B sales teams who want to move from manual sourcing to an automated chain — without losing targeting quality or the legal compliance of the scraping pipeline.
Manual B2B prospecting in the West African context suffers from scattered contact bases, slow enrichment and generic messages that end up in the trash. Sales teams spent more time building Excel files than talking to qualified leads.
Modular ingestion pipeline: each source (Pages Jaunes, Pappers, GoAfrica, Google Maps) is wrapped in a typed connector with rate-limiting and robots.txt compliance. Contacts are normalized into a single schema stored in PostgreSQL. Enrichment layer: OpenAI scores leads against client criteria (size, sector, buying signals) and personalizes outreach messages. Native CRM integration via REST API and idempotent webhooks. UI side: a Next.js dashboard with dynamic filters, a Kanban view of the prospecting pipeline and multi-format export (CSV, Excel, JSON).
Metrics give a quick read of the case study effects.
A simple read of the functional blocks and their interactions.
Product diagnosis, SaaS architecture, backend, interface and automations that make a platform usable.
