Every person on the sales desk answers like your longest-serving buyer
For wholesalers, importers and distributors whose margin depends on the assortment, supplier terms and customer agreements. We help you work the AI-first way, with agents that send backorder updates and check product files, and Hivemind, our flagship, holding that knowledge for sales, purchasing and the warehouse.
Built for wholesalers, importers, distributors
Read by Claude, ChatGPT, Copilot and your agents · within your permissions
Sound familiar
The buyer is the only one who knows the supplier deals
Which supplier pays a year bonus above a certain volume, who accepts returns without an RMA number, who always ships late in August. When the buyer leaves, that knowledge leaves too.
Customers ask the same questions all day
Is it in stock, when does the backorder arrive, what is the alternative. Inside sales looks it up in the ERP, a supplier email and a colleague's memory, call after call.
Returns cost money when a step is skipped
A customer sends back a damaged unit and the replacement goes out before the supplier has issued an RMA. The credit from the supplier never comes.
Everyone works from the same company
What changes once Hivemind, our flagship, is the knowledge under every AI tool and agent your team uses.
Answers from the same facts
Inside sales, the field reps and the warehouse use the same substitutes, lead times and agreed prices, so a customer hears one story from everyone.
Supplier knowledge that stays
Terms, contacts and the history of every claim are kept per supplier, so a new buyer can pick up the negotiation where the last one stopped.
Product questions answered on the call
Spec sheets and past answers about an article sit together, so the technical question a customer asks today is answered from what you already know.
Agents that do the work
Agents like these we build with you. Each has a toolbox: what it may read, what it may change, and what waits for a person.
Backorder update
Every morning at 8:00
Backorder update, every morning at 8:00: Finds customer orders waiting on stock, reads the supplier's latest confirmed date and drafts an update per customer for inside sales to send.
4 allowed · 1 waits for a person
Product file check
Every Monday · for articles added last week
Product file check, every Monday · for articles added last week: Checks each new article for a spec sheet, declaration of conformity and safety data sheet, and drafts the request to the supplier for what is missing.
4 allowed · 1 does not exist for this agent
Connects today
- Knowledge base
- Gmail
- Files
- Slack
Next to what you already use
- ERP systems such as Exact Globe, AFAS, Microsoft Dynamics or SAP Business One
- B2B webshops and product data tools such as Sana Commerce or Akeneo
- Warehouse management systems
- Supplier price lists in Excel on shared drives
A system without a connector yet gets one: we build it as part of Build.
We set it up with you
Implement
We interview your buyers, inside sales and warehouse lead and write down supplier terms, substitutes and customer agreements
Automate
Agents for backorder updates, missing product documents and supplier claims
Build
A link to your ERP so agents can read stock, open orders and backorders
Learn
Training for inside sales on answering product and delivery questions with AI, and checking the answer
Questions
Our net prices are sensitive. Can every employee see them?
You decide who is invited and who may edit. Files such as net price agreements and year bonus deals can be marked confidential. Your knowledge base is yours alone and is never shared with other customers.
We have thousands of articles. Do they all go in?
No. Article data stays in your ERP or product data tool. The knowledge base holds what those systems miss: substitutes, known issues, supplier terms and how to answer the common questions. If an agent needs live stock or orders, we build that link.
How much time does this take from our people?
We start by interviewing the people who know the most, often the buyers and the longest-serving inside sales staff. We write it up and they check it. After that, the team keeps it current by telling their AI what changed.