Hey everyone, Ritanshu and Abhimanyu here from Questom.

We’re building AI agents that handle the everyday conversations B2B companies rely on to sell.

TL;DR

Most B2B revenue still runs through phone calls and emails, not websites.

Teams struggle to:

• answer every inquiry
• follow up consistently
• collect details cleanly
• apply the right catalog + pricing rules
• generate accurate quotes
• and keep customers updated

Questom trains AI sales agents that do all of this automatically, using your workflows, your rules, your language, and your systems.

Our agents live directly inside the communication channels B2B teams already use:

📞 Phone • 📧 Email • 💬 Chat • 📱 SMS

They handle inbound conversations end-to-end and hand off to humans only when needed.

🚨 The Problem

Across wholesalers, distributors, field-service companies, custom-order shops, foodservice, industrial supply, packaging, labels, and more — the story is the same:

Revenue depends on conversations.

Every day teams handle:

• “Can you do this?”

• “How much will it cost?”

• “Can I get it by Friday?”

• “Where’s my order?”

• “Can I change something?”

But these companies run lean.

Sales, operations, and customer service are often the same people juggling:

• quoting
• re-quotes
• customer updates
• scheduling
• inventory/lead-time questions
• supplier coordination
• repeat jobs
• production constraints

When things get busy, response times slip, inboxes pile up, and high-intent buyers quietly move on.

This creates:

• Missed revenue
• Burnt-out teams
• Customers who don’t come back
• An invisible tax on growth

People think “chatbots” solve this, but bots don’t understand:

• catalogs
• pricing rules
• discounts
• exceptions
• minimums
• production timelines

B2B sales is not FAQ automation.

It’s conversational problem-solving.

💡 The Solution

Questom builds AI sales agents that run your inbound sales process.

They learn:

• your catalog
• your pricing
• your discounts & exceptions
• your constraints
• your approval flows
• your lead times
• your edge cases
• your CRM/ERP logic

The agent:

• answers instantly
• asks the right questions
• collects order requirements
• applies your pricing logic
• generates quotes and revisions
• manages follow-ups
• sends status updates
• and pushes structured orders into your ERP/CRM

When needed, the agent hand-offs to a human with full context, so nothing gets lost.

Operational impact:

• Faster first responses
• Fewer missed inquiries
• More accurate quoting
• More deals closed
• Less repetitive messaging
• Happier customers
• Less load on your team

⚡ Early Results

Across our pilots with wholesalers, print companies, and multi-location brands:

• Up to 50% of inbound sales conversations fully automated
• Meaningful AOV lift from smart upsells
• Backlogs cleared within days
• More quotes sent → more revenue captured
• Teams finally able to focus on higher-value work

👥 About Us

Ritanshu grew up in a 75-year-old wholesale business, worked at Google (Wing) and Tesla, and previously bootstrapped a SaaS product to $45K ARR.

Abhimanyu spent 7 years in Applied ML Research at Apple working on conversational intelligence, with CS degrees from IIT Kanpur and Columbia.

We’re combining deep B2B operational understanding with real applied ML to solve one of the oldest, hardest problems in the industry:

turning everyday conversations into revenue automatically.

🤝 Our Ask

If you know a B2B company that:

• handles lots of inbound calls
• quotes custom or configured orders
• relies heavily on phone or email
• struggles with response time
• or is drowning in repetitive sales conversations

We’d love to talk.

📩 founders@questom.ai

📅 Book a meeting