AI for Retail
Your customers ask the same forty questions. Your staff answer them one at a time.
Where is my order, do you have it in blue, can I return this, are you open on Monday. Your team answers each one by hand while the queue grows. An agent that knows your orders, stock and policies answers most of them, and hands the rest to a person with the history attached.
Where AI pays first
Three things AI does in retail before anything else
Start here
AI Fundamentals
Take the five-minute AI Opportunity Score first; it will tell you whether the forty questions or the stockroom is the bigger prize. Then half a day with your leadership team turns that into one designed project.
Workshops that make AI understandable, without the hype.
Questions
What retail leaders ask us
Can the agent answer our phone as well?
Phone answering is Bea, our sister brand, an AI receptionist built for exactly that. Be AI designs the agent behind your website, email and chat, and the two share the same knowledge so a customer gets the same answer whichever way they ask.
Will an agent damage our customer experience?
A badly scoped one will. The design limits the agent to what it can answer from your systems, tells the customer it is automated, and hands over to a person the moment the conversation leaves that ground. Customers dislike waiting more than they dislike software; the agent removes the waiting.
We run on a standard e-commerce platform. Does this need custom development?
Less than you expect. The mainstream platforms expose orders, stock and customers through APIs, and the agent is built on top of those rather than inside your store. The design says which parts are configuration and which are build before you commit to either.
Other industries
How AI pays elsewhere
Answer the forty questions once, properly, and put your people on the sale.
Get your AI Opportunity Score in five minutes, or talk to an AI architect about the agent your store needs.