Asgard AI

Member marketing and service tickets

Type
Demonstration project
Project
Omnichannel retail demonstration project
Industry
Retail

The scenario and numbers in this demonstration project are simulated data.

Industry
Retail
What was built
Agents, a semantic model, query tools and write tools, built on demonstration data
Where the knowledge came from
Demonstration data in a retail database: products, stores, logistics, members and service tickets

Lists to follow up

  • Member marketing needs the customers who abandoned a cart and can still be won back.
  • The customer service supervisor needs the tickets at SLA risk.

Retail database and queries

  • This demonstration project has a semantic model on the retail database.
  • The agents use query APIs to check best sellers, channel and store KPIs, low-stock SKUs and parcels with delivery exceptions.

Agents and tools

  • Operations overview, stock allocation, logistics fulfilment, member marketing and service tickets each have their own agent.
  • Each agent queries data with the query tools for its own area.
  • The member marketing agent uses write tools to create coupons and member segments.
  • The stock allocation agent uses write tools to create stock transfer orders.
  • The service ticket agent uses write tools to escalate service tickets.

Continuous improvement

  • At retailers like this, new coupons and member segments will keep being added.
  • The agents will collect feedback on their answers from users. The feedback will go to Odin.
  • Wrong answers will become tests. A change will be kept only if scores improve.

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AI feasibility review of a live workflow