Automate order intake, purchasing and credit workflows around a distributor's existing systems
Burnt is an AI operations platform for food distributors. Its agents address sales and order handling, purchasing and credit control, with a shared view of work across teams and locations. The product is shaped around the variations in food distribution, where product shorthand, pack sizes, supplier relationships and customer ordering habits can make a simple-looking order difficult to process.
The sales and operations offering accepts orders through channels such as email, messages and phone-related workflows. It turns those requests into structured information, matches product terminology with the catalog and checks inventory. When an item is unavailable, the product describes recommending alternatives. These steps still need to reflect the distributor's actual SKU rules and customer requirements; a substitution is not automatically suitable simply because stock is available.
Beyond order intake, Burnt describes procurement agents for purchasing and supplier communication, and credit-control agents for collections work. A unified platform is intended to let these functions coordinate instead of operating as disconnected tools. The conversational interface, named Ozai on the homepage, gives users a way to ask questions and issue instructions about the operation. A field-sales mobile application is also described for customer-facing staff.
The vendor offers direct ERP connections where interfaces exist and custom integration work for older systems. It describes confidence-based automation with human review for exceptions, together with records of decisions and changes. A deployment therefore needs explicit rules for what may be processed automatically and what should be held for a person, especially when orders, credit terms or supplier commitments are involved.
Burnt uses hands-on onboarding and a tailored commercial arrangement rather than a public subscription table. Teams can start with one workflow before considering a broader rollout. A representative pilot should include unusual product names, shortages and conflicting instructions, not just clean orders. Vendor accuracy and savings claims should be tested against the customer's own data and accepted operating thresholds before expanding autonomy.
