Connect product discovery, service, transactions and exceptions into one governed customer journey.
Myria designs multi-agent commerce experiences where routing, product knowledge, account context, transaction tools and human escalation work together—so the experience can move from conversation to action without fragmenting across bots and systems.
Business use case
E-Commerce Service & Revenue Orchestration
Myria lens
Business problem → decisions → exceptions → AI opportunity → governed action.
The business challenge
Start with where work, judgment and value are getting stuck.
Customers move between product questions, order issues, billing and support in the same conversation.
Traditional bots break the journey into disconnected intents.
Transaction actions require stronger controls than information retrieval.
Upsell opportunities should follow customer need, not interrupt it.
Decision & exception map
The intelligence sits inside the decisions.
Rather than automate the surface task, Myria identifies the recurring decisions, investigations and exceptions that shape the outcome.
What is the customer trying to accomplish?
Understand the journey across discovery, purchase, service and account needs.
Which specialist should handle it?
Route or hand off between sales, service, billing and order specialists.
Can the system transact?
Apply authentication, inventory, pricing and payment controls before action.
When is human intervention needed?
Escalate high-risk, ambiguous or relationship-sensitive situations.
AI-enabled capability
Technology becomes useful when it is connected to the operating decision.
The solution may combine conversational interfaces, agents, business rules, enterprise tools and human approvals. The architecture follows the business need.
Agent routing
A coordinating layer selects the right specialist while preserving conversation context.
Commerce tools
Governed integrations retrieve products, carts, orders, inventory and account status.
Transaction controls
Sensitive actions follow explicit authorization, confirmation and audit rules.
Journey intelligence
Interactions reveal friction, demand signals and opportunities across the value chain.
Operating flow
From signal to action.
Understand
Recognize the customer goal and context.
Route
Engage the right specialist capability.
Act
Retrieve information or execute an approved commerce action.
Continue
Preserve context across the rest of the journey or human handoff.
Business outcomes
Measure the operating change—not the novelty of the AI.
Less fragmented customer journeys
Faster service across commerce intents
More consistent transaction controls
Better context across specialist handoffs
Improved visibility into journey friction and demand
What Myria would explore
Before architecture, clarify the business system.
A Discovery or focused Advisory Lab can map the decisions, exceptions, systems, economics and governance boundaries behind this use case.
Which customer journeys cross multiple teams or systems?
Which commerce actions require authentication or confirmation?
What context must persist between agents?
Where does human judgment protect revenue, trust or risk?