Top 10 AI use cases for B2B: three full breakdowns

From 80 documented cases, ten made my shortlist for one question: what would this look like in a 50 to 250 person company? Here are three of the ten in full detail. Every fact comes from the named primary source.

1. Prioritize the deals most likely to close: Aerotech

The company

Aerotech, Pittsburgh. Manufacturer of motion control and precision positioning systems; their components sit in medical devices, semiconductor equipment, and the James Webb telescope. Founded 1970, 200 to 1,000 employees. A classic mid-market industrial B2B.

The friction

Sales reps responsible for up to 1,500 accounts per territory, with manual research before every meeting. 80% of sales came from repeat business; new-logo growth was the gap. No way to scale sales without hiring, in a labor market where they compete intensely for people.

What they did

HubSpot Sales Hub with Breeze AI: Copilot for prospect research and competitive insights before first meetings, AI account prioritization across the 1,500-account territories, AI-driven outreach sequences, and AI sales forecasting, on one customer data platform.

The numbers

The tier

The tools are T1: Breeze sits inside a CRM they already ran. Full organizational adoption still took 3 months. If your CRM data is scattered across systems, the timeline starts there.

"AI is not a human replacement. It's a powerful tool that gives us more time back in our day."Tilman Nadolsky, Sales Operations Manager, Aerotech

Source: HubSpot customer case study, Aerotech

2. Process wholesale orders from any channel: Choco

The company

Choco, a platform connecting restaurants, suppliers, and distributors across the food supply chain: ordering, sales, and customer management in one system.

The friction

Orders arrived as emails, texts, voicemails, photos, and handwritten notes. Order desk teams manually translated all of it into structured ERP orders: slow, error-prone, and the knowledge of how to resolve ambiguous orders lived in the heads of individual reps.

What they did

Built OrderAgent on OpenAI APIs: it reads multimodal inputs (email, SMS, images, documents) and converts them into ERP-ready orders, resolving ambiguity against each customer's ordering history and catalog. VoiceAgent, on the Realtime API, takes phone orders with sub-second latency, including outside business hours. An optional Autopilot mode processes orders automatically when confidence is high and keeps human review for edge cases; the system learns from corrections.

The numbers

The tier

T3 as a build: Choco is the vendor and spent serious engineering on evaluation frameworks and in-context learning infrastructure. If you are a distributor, you are the buyer in this story, and adopting a product like this is a much shorter project than building it.

"Once customers saw it working with their own orders, trust followed quickly. That's when adoption really accelerated."Daniel Khachab, Co-Founder & CEO, Choco

Source: OpenAI customer story, Choco

3. Automate emailed customer requests: C.H. Robinson

The company

C.H. Robinson, one of the world's largest logistics platforms, 10,000+ employees, US-headquartered.

The friction

Tens of thousands of customer emails arrived daily asking for routine things, each processed manually, with delays measured in hours. Every customer's shipping lifecycle had unique variables that made automation look impossible.

What they did

Built on Azure AI Foundry and Azure OpenAI: the system classifies incoming emails, extracts details, identifies missing information, and fulfills the request automatically. It distinguishes truckload, less-than-truckload, intermodal, and air freight requests, with human feedback loops for quality. Implementation took 12 months; launched 2024.

The numbers

The tier

A true T3: a 12-month in-house build at enterprise scale. The transferable part for a smaller company is the pattern: pick ONE email-heavy request type (quotes are the classic) and automate that first.

"Our tech makes it possible to automate virtually any kind of email transaction and capture efficiencies in global supply chains that just couldn't be achieved before."Mark Albrecht, VP of AI, C.H. Robinson

Source: Microsoft customer story, C.H. Robinson