Intelligent AI-Driven Sales Intelligence & Performance Platform

Sales teams were losing leads to slow manual qualification and fragmented relationship tracking spread across multiple disconnected tools.
Built an AI-driven platform that automates lead scoring, maps relationship networks, and surfaces next-best-action recommendations in real time.
Mapped existing sales workflows, audited CRM data quality, and defined the KPIs that would drive AI training decisions.
Designed a neural network pipeline for lead scoring and relationship graph construction, fine-tuned on the client's historical sales data.
Built the core CRM backend with Node.js and ElasticSearch for sub-second search across millions of records, with a React front-end for sales agents.
Integrated with existing email and calendar tools, ran automated and manual QA across all user roles, and resolved edge cases in the AI pipeline.
Phased rollout to 50 pilot users, collected feedback, and iteratively improved the recommendation engine over a 4-week post-launch period.
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IoT
