Third-party agents now mediate the interaction between shoppers and your storefront. Toffee turns those agentic interactions into a continuous feedback loop. Agents do the talking, but you own the journey.
A catalog-tuned relationship graph. Agents see your brand, aesthetic, and product relationships, not just a product feed.
Map agentic interactions across sandbox testing and live traffic. See how journeys unfold and where friction or drop-off occurs.
Feedback signals adapt the representation layer and exposed tools, so future journeys follow your objectives and preferred conversion paths.
Toffee builds a merchant-specific Brand Commerce Graph. Clusters of nodes and edges that encode what your products mean, how they relate, and what agents are allowed to do with them, so agents retrieve relevant items faster, recommend stronger combinations, preserve aesthetic coherence, and support complete shopping journeys.
Capture and map agentic interactions across sandbox testing and live traffic to understand how agent journeys unfold and where friction or drop-off occurs.
Every agent interaction sharpens the next one. Traces from real shopping journeys feed back into the graph as merchant-owned context. The longer Toffee runs, the better your representation gets.
Every engagement runs through the same arc: integrate the catalog, shape agent behavior in the sandbox, then measure against benchmarks we define together.
Toffee is building the integration layer between agents and the systems they’re trying to use. Quietly, for a handful of partners, right now.