I want to turn samples into opportunities, not forgotten free stock.
An AI chat writes a follow-up, but does not know batch, send date, intended use and responsible salesperson.
Bruno tracks shipments, prepares follow-ups and flags samples without response.
Sales follows up at the right time with the right product context.
Bruno makes this useful by connecting daily interruptions to durable follow-up: message, task, follow-up, approval and memory.
Mobilized foundations- Connected tools: calendar, email, spreadsheets, Drive, lightweight CRM or team messaging feed the file without retyping.
- Action memory: each request keeps its customer, context, received documents, follow-ups and next step.
- Human control: Bruno prepares, sorts and follows up, while sensitive messages and committing actions stay approved.
- Field gain: the goal is not to produce a long report, but to move a real request forward without retyping.
Apply the "Know who received what and what to follow up" use case in my company context.
- The priority deliverables are produced: Order file, Pricing points, Supplier follow-up, Customer message.
- Assumptions, risks and required human approvals are explicit.
- The result is reusable by the team, as in the Sensoria Pro, B2B sensory product supplier example.
Info to clarify
- What is the exact context of your company, customer or project?
- Which documents, data or conversations can Bruno use as a starting point?
- Which deliverables do you want first, and which ones can wait?
- Who must approve the result before any external action is launched?
Twelve prospects received samples before a trade show. Some had to test in workshop, others present internally, but feedback is not coming.
Bruno links each shipment to prospect, date, product and next action. It prepares tailored follow-ups: test feedback, meeting, quote or clean close.
Created agents
- Order agent
- Margin agent
- Transport agent
Delivered assets
- Order file
- Pricing points
- Supplier follow-up