Every sales conversation holds valuable data — insights into what customers need, how they react, and why deals move forward or fall apart. Yet in most teams, that information disappears the moment a call ends.
SalesDiscover was built to change this. By combining transcription, intelligence, and coaching into a single, accessible platform, it turns conversations into a continuous feedback loop for sales performance. It’s part of a new generation of AI sales tools designed to make conversations measurable, coachable, and scalable.
Here’s a closer look at how each part of the system works.
1. Call Processing & Intelligence
The first step is simple but powerful: turn every call into structured data.
SalesDiscover connects to existing phone or VOIP systems — such as Aircall, WildJar, or JustCall — and automatically records conversations. Using OpenAI Whisper, each call is transcribed with speaker identification and time markers, allowing teams to search and review discussions with precision.
But the platform doesn’t stop at transcription. Its language models extract key information from the dialogue — identifying pain points, objections, recurring product mentions, and decision cues. Sales managers can quickly scan summaries to see what topics dominated a call and where customer interest or hesitation appeared.
The goal isn’t to flood teams with data, but to make context visible and actionable — so that coaching and pipeline management become based on facts, not memory.
2. Real-Time and Post-Call Coaching
Coaching is where SalesDiscover truly bridges the gap between insight and action.
SalesDiscover includes an AI call assistant. During live conversations, the system can provide real-time prompts and reminders — for example, to clarify a customer concern, adjust pacing, or ask a discovery question that may strengthen rapport. These prompts are designed to assist, not interrupt, allowing reps to stay natural while receiving immediate support.
After each call, managers and reps gain access to AI-generated summaries and coaching insights. The platform highlights sections worth reviewing — such as how objections were handled, or whether key qualification questions were covered. This enables a focused debrief: short, relevant, and grounded in real conversation data.
By combining both live and post-call feedback, teams develop a culture of continuous learning without increasing managerial workload. It’s like having an AI sales agent in every call: subtle, supportive, and focused on helping people communicate more effectively.
3. Analytics and Reporting
SalesDiscover’s analytics layer brings clarity to sales activity that’s often hidden in spreadsheets or recordings.
Through an integrated dashboard, leaders can review metrics such as:
- number of calls analysed,
- conversation duration trends,
- sentiment distribution,
- coaching engagement, and
- performance comparisons across teams or individuals.
The data isn’t designed to replace human judgment but to enhance visibility — helping managers recognise strengths, spot recurring challenges, and measure progress over time.
Reports can be filtered by timeframe, campaign, or rep, and exported for performance reviews or pipeline meetings. For growing teams, this level of structure creates consistency in how results are tracked and discussed.
4. Integrations That Simplify, Not Complicate
Sales technology should make life easier, not harder. That’s why SalesDiscover works seamlessly with the tools many businesses already use.
Through Zapier webhooks, the platform connects with HubSpot, Salesforce, and other CRMs, ensuring call data, insights, and summaries appear exactly where teams manage their pipeline. It also integrates with voice and communication tools such as Twilio, Aircall, and WildJar.
This approach keeps implementation fast and low-maintenance — no heavy installations, no technical setup barrier. Teams can begin recording, analysing, and coaching within hours, not weeks.
5. Technology Built for Performance and Security
Under the surface, SalesDiscover runs on a modern, scalable architecture:
- Frontend: React + TypeScript + Tailwind CSS for a clean, responsive experience.
- Backend: Supabase (PostgreSQL + Edge Functions) for secure, serverless deployment.
- AI Stack: GPT-based models for summarisation and coaching insights, with OpenAI Whisper handling transcription accuracy.
- Voice Integration: Twilio and ElevenLabs support natural voice processing and real-time interactions.
- Email & Notifications: AWS SES ensures reliable system communication.
This foundation allows SalesDiscover to operate efficiently across small or mid-sized teams, keeping data secure while delivering fast, dependable performance — essential for any business adopting artificial intelligence tools for business.
A Unified Platform for Modern Sales Teams
SalesDiscover doesn’t aim to replace human sales expertise — it amplifies it. By giving teams visibility into every conversation, it helps managers coach with confidence and gives representatives clarity on how they can improve.
The result is a more connected, consistent, and informed sales process — one where data supports performance, not distracts from it. For organisations looking to modernise SaaS software sales with practical, usable technology, it offers a balance of intelligence, accessibility, and real-world impact.
👉 Explore SalesDiscover.ai and see how real-time intelligence can enhance every sales conversation. Contact us today to get early access!
