Development of an AI sales system (AI Sales Assistant)
AI Sales Assistant is not a scripted bot, but an intelligent tool that improves the efficiency of every stage of the sales process: call preparation, negotiations, personalization of offers, conversation analysis, and outcome prediction.
AI Sales Assistant Components
Pre-Call Intelligence: Before the call, the agent gathers key facts, recent events, industry pain points, and interaction history from the CRM, LinkedIn, and company news. The manager receives a one-page brief in 30 seconds instead of 30 minutes of preparation.
Real-time Conversation Support: Zoom/Meet integration (real-time transcription via Whisper). Suggestions are displayed on the manager's screen: similar objections from the database, relevant cases, and next questions.
Call Analysis: After the call: transcription + analysis. Talk ratio (manager vs. client – optimally 40/60). Keywords (pain points, competitor mentions, budget mentions). Next steps, action items.
Deal Scoring: ML model based on CRM data (400–500+ closed deals): probability of closure, recommended next steps, risks (deal stuck too long in stage, no activity).
Proposal Generator: LLM + customer data + product catalog → personalized quote in 2 minutes.
Tech stack
Whisper for transcription. GPT-4o for conversation analysis. LightGBM for deal scoring. LangChain for orchestration. CRM integration (Salesforce / HubSpot / amoCRM). Slack/Teams for real-time notifications.
Pipeline: 10-14 weeks
Weeks 1–4: CRM integration. Deal scoring model based on historical data. Weeks 5–9: Call analysis pipeline (Zoom integration, transcription, analysis). Weeks 10–14: Proposal generator. Pre-call brief. Sales manager dashboard.
ROI
Our projects offer: +18% win rate, -30% preparation time, +25% funnel completion speed. ROI is 3–6 months for a team of 5 or more salespeople.