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CRM
Global Sales Enterprise

GemCRM

Intelligent AI-Driven Sales Intelligence & Performance Platform

Results
40%
Faster Lead Close Rate
Pipeline Visibility
60%
Less Manual Data Entry
GemCRM
The Challenge

Sales teams were losing leads to slow manual qualification and fragmented relationship tracking spread across multiple disconnected tools.

Our Solution

Built an AI-driven platform that automates lead scoring, maps relationship networks, and surfaces next-best-action recommendations in real time.

How We Built It

Our Process

01
Discovery & Data Audit

Mapped existing sales workflows, audited CRM data quality, and defined the KPIs that would drive AI training decisions.

02
AI Model Architecture

Designed a neural network pipeline for lead scoring and relationship graph construction, fine-tuned on the client's historical sales data.

03
Platform Engineering

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.

04
Integration & QA

Integrated with existing email and calendar tools, ran automated and manual QA across all user roles, and resolved edge cases in the AI pipeline.

05
Launch & Optimisation

Phased rollout to 50 pilot users, collected feedback, and iteratively improved the recommendation engine over a 4-week post-launch period.

Technology

Built With

Neural NetworksGenerative AIPredictive AnalyticsNode.jsPythonReactElasticSearch

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