AI agents

An AI sales assistant that plans the rep's day and puts the supervisor in command of the team

Your team talks to Tracy like a colleague, and Tracy answers with the real data from their portfolio, catalog and prices. It alerts you when a customer is going cold, quotes, builds the order and suggests what to offer, always with the person's confirmation.

AI sales assistant

Tracy screens with sample data.

The questions you're asking yourself

How much of your rep's day goes to screens, spreadsheets and WhatsApp instead of selling?

Does your rep know, before heading out, which customer has stopped buying?

Do you find out someone is falling short of their target only after the month has closed?

How Tracy solves it

Plans the rep's day

Who to visit or call, which customer is going cold and how their target is tracking, before they head out.

Alerts you without being asked

Customers who haven't ordered when they usually do, stuck orders and targets at risk, with the suggested action.

Sells in the conversation

Quotes at each customer's real price, builds and edits the order and tells the rep what to offer.

The supervisor in command

Asks about their team in natural language, assigns objectives and tasks, edits sales and contacts customers.

With confirmation and audit trail

Every action goes through the person and is logged; each user sees only their own portfolio or team.

Customers already solving it

Frequently asked questions

No. It takes the load of screens and spreadsheets off them so they can spend the day selling.

Yes. As an assistant inside your app or portal, or as the engine behind it, as in a network handling over 1 million orders a month.

Yes. It builds the order in the conversation at that customer's price, and the rep confirms it.

See their team, assign objectives and tasks, edit sales and contact customers, with row-level security.

Let's look at it with your data

30 minutes to show you how it would look in your operation.