7 high-impact AI use cases for industrial sales teams.
Where AI creates real leverage in complex B2B sales, from account research and product matching to RFPs, proposals and CRM, without replacing the expertise that wins the deal.
A look inside the whitepaper
Leaf through the first pages. The full whitepaper comes to your inbox for free.
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Page 1Cover
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Page 2The starting point
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Page 3Why generic copilots fall short
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In the full whitepaper
Page 4The opportunity map
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In the full whitepaper
Page 5Use case 01
- Full whitepaper
Keep reading.
All seven use cases in detail, plus a 90-day plan and a readiness check for your organization.
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What’s inside the whitepaper
Not a brochure but a practical guide, with figures, clear criteria and a plan for your first 90 days.
Key insights
- 5%
of AI-using companies in Germany apply AI in sales.
Bitkom, 2025 -
AI is not the hard part. Context is.
The answer is spread across CRM history, product data, price lists and the heads of a few experts.
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The AI model is only one layer.
Whether AI works reliably in sales depends on data, access rights and your business rules.
- 70%
of sales reps’ time goes to non-selling tasks.
Salesforce, State of Sales 2024
Who is it for?
- Sales leaders & executivesat industrial companies with complex portfolios
- Inside sales & sales operationswho move requests, proposals and CRM every day
- Pre-sales & application engineeringwho answer most of the questions today
- Digital & IT leadstaking AI from pilot to daily use
What you’ll get
- Seven use cases along the sales process, each with the problem, the approach, the data and the expected outcome
- The four layers that make AI in sales reliable
- Criteria for choosing the right first use case
- A practical 90-day path from first test to daily use
- A readiness check you can tick off
- All sources and studies at a glance
“Our customers have outstanding products and experienced sales teams. What’s missing isn’t the knowledge, but access to it, exactly when a decision is due.”
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