Launch the first agent. Accelerate every deployment that follows.
A governed ecosystem of 55+ tools, model- and protocol-agnostic — deploy your first agent fast, then reuse the foundation for every one after.
Plan your First Agent
Use the models your teams choose
Keep Ekyam's model context and tool independence from a single LLM or copilot.
Support the protocols the ecosystem adopts
Expose governed capabilities through MCP, A2A, APIs and platform-native tools.
Compose agents from proven tools
Combine retail data, decision logic and actions instead of rebuilding each workflow.
Reuse what is already deployed
Each new agent inherits connected systems, definitions, policies and audit controls.
Prebuilt retail capabilities reduce
the cost of every new agent.
Reuse Ekyam’s 55+ retail-specific tools and configurable agents rather than repeatedly building integrations, business logic and controls. These development and maintenance savings are distinct from the 40% LLM cost reduction for existing agents.
Build less
Compose reusable tools and agents around the business decision.
Maintain less
Update shared integrations, rules and policies once rather than in every agent.
Scale faster
Launch subsequent workflows using the same retail context and governed execution.
A tool ecosystem, not a
collection of one-off agents.
Ekyam separates reusable retail capabilities from the agent experience. The same governed tools can support a prebuilt agent, a custom workflow or an enterprise copilot.
Compose the agent around the decision.
Choose the context, logic and approved actions required for a business outcome.
Read trusted operating context
Apply reusable retail logic
Recommend or execute an action
Rapid sequential deployment by design.
Establish the foundation
Connect the systems required for the first business problem.
Source access
Canonical entities
Business definitions
RBAC + policies
Deploy the first agent
Compose the required tools, logic, prompts and approval path.
Use-case tools
Agent instructions
Human review
Audit trail
Reuse the operating context
Extend the same products, inventory, orders, vendors and locations.
Existing connectors
Shared definitions
Proven permissions
Reusable tools
Launch the next agents faster
Focus new work on the incremental decision, workflow and user experience.
Allocation
PO + ASN
Forecasting
Reporting and beyond
One foundation. A growing portfolio of agents.
Build agents and solutions across the retail operation.
Allocation
Recommend where inventory should move based on demand, availability, capacity and policy.
Planning & Inventory
PO + ASN reconciliation
Identify mismatches, quantify each impact and route the right response.
Supply Chain
Demand forecasting
Compute forecasts and reconcile signals across products, channels and locations.
Planning & Inventory
Inbound risk
Monitor late, partial and at-risk inbound before demand is affected.
Supply Chain
Vendor performance
Connect fill rate and compliance to operating and financial impact.
Vendors
Fulfillment exceptions
Investigate orders blocked by inventory, routing, carrier capacity or data mismatches.
Supply Chain
Operational reporting
Answer recurring business questions from governed definitions and traceable source data.
Data & Reporting
Available-to-promise
Provide channel-aware availability across physical stock, commitments, holds and restrictions.
Commerce & ServiceThe runtime can change.
The operating context remains.
Ekyam is designed to work across enterprise AI ecosystems and evolving interoperability standards. Your retail model, policies and tools remain reusable as model and protocol choices change.
LLM agnostic
Use Copilot, Gemini, Claude, ChatGPT or another approved runtime.
Protocol agnostic
Support MCP, A2A, APIs and native platform tool calling.
Orchestration independent
Govern access and execution without forcing one agent framework.
