Digital Employee · Retail / e-commerceRoadmap · TBD
Carter.
The retail Digital Employee. Roadmap.
Not a product search box — an AI with the agency of a retail operator: built to carry merchandising, operations, and growth strategy, not just describe products.
Carter is the Digital Employee for retail and e-commerce. The Eve-Retail compound reasoning model continues to develop; Carter will be productized into a customer-facing Operating System in a future product cycle.
Not just the first order. The whole role.
A retail operator is never only a merchant. The work runs from the storefront, to the inventory and fulfillment behind it, to the category and growth strategy above it. Carter is built to reason across all three orders — first-order merchandising is where it starts, not where it stops.
First order
Merchandising & customer experience
The storefront work: assortment and pricing reasoning, product content, demand sensing, and source-grounded customer service.
Second order
Inventory & fulfillment operations
The work behind the storefront: inventory planning and replenishment, supply-chain and fulfillment coordination, and returns.
Third order
Growth & category strategy
The stakes of the business: category and margin strategy, marketing and lifecycle reasoning, and multi-channel portfolio decisions.
An AI with agency — and the architecture to back it.
Carter is on the roadmap — but the architecture it will ship on is already running in production across the live Digital Employees: the same compound reasoning, the same dedicated memory, the same bounded agency.
Compound reasoning
Backed by Eve-Fusion™
Carter will run on Eve-Retail — the same Eve-Fusion compound architecture every MindHYVE Digital Employee shares: five models per request — a Phi-3 classifier, a Phi-4 reasoner trained on the matching Eve-Genesis edition, and three composed frontier models. Reasoning depth no single model delivers.
Eve-Retail →Dedicated memory
Its own Azure AI Search
Every MindHYVE Digital Employee gets its own dedicated Azure AI Search instance for infinite memory recall — and Carter will be no exception, carrying its full working context forward instead of forgetting it between turns.
Bounded by the OS
Agency in the employee, control in the OS
Carter will reason with full agency inside its Operating System — and the OS layer is where the bounds live: review gates, tamper-evident audit trails, and the regulatory posture its industry requires. Agency in the employee, control in the OS.
One request, five models, one answer.
Eve-Retail is a compound, not a single model. Press Run to watch a request move through it — or click any stage to inspect it.
Stage 1 / 8 · Request
A user asks
A request enters through the Digital Employee’s Operating System — the surface that frames, scopes, and governs everything that follows.
The AI reasons. The human decides. The OS records.
Carter is on the roadmap — here is how bounded agency is designed to work once it ships. Step through it.
Step 1 · Agency
Carter reasons
Carter works the case with full agency — reasons through it and drafts the merchandising plan. No human in the loop yet.
On the roadmap