We’re building AI into the parts of a service business that eat the most time: the line, the stockroom, the rota, the inbox and the marketing. Each one sits on data Entropy1 already collects.
An MCP server alongside the Entropy1 API, so AI agents like Claude, ChatGPT and others can browse menus, book spaces, place orders and manage memberships for your customers and staff, with the same permissions and audit trail as the API.
Today: the REST API, scoped keys and webhooks the MCP server will sit on.
An AI kitchen display that sequences and times orders so drinks and dishes land together and the line moves faster.
Today: kiosk and online orders, and order-ready texts to customers.
Forecasting from your sales history and seasonality, auto-reorder suggestions before you run out, and waste tracking so you can see what to cut.
Today: full product and sales history per business and location.
Schedules suggested from forecast demand, with labour cost shown against sales so you can staff to the day, not the guess.
Today: staff roles and per-location sales data.
An AI concierge over SMS: customers book, order or ask questions by text, from your business’s own number. Plus AI-generated avatars for customer profiles.
Today: two-way SMS from your Twilio number, phone sign-in and customer accounts.
AI-written campaigns, automatic win-back for customers who drift away, and dynamic off-peak pricing to fill quiet hours.
Today: audiences, personal offers, and SMS campaigns with STOP handling, frequency caps and quiet hours.
Most AI add-ons bolt onto a POS and guess. Entropy1 already holds the orders, bookings, memberships, door events and campaign results for each business, in one schema, behind one API. That’s what lets AI act, not just suggest.
Features marked “Coming soon” or “Early access” are in development and not yet generally available. Timelines may change.
Waitlist members get early access to AI features as they land, and early-access pricing.