Reimagine inventory, customer service, and returns.
Three roles in retail ops, where people and AI work together
Inventory planning
Responsibilities to review
- Read sales velocity and seasonality signal
- Cross-reference supplier lead times and in-transit inventory
- Draft the replenishment plan per SKU
- Review exceptions and approve high-stakes overrides
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI reads sales velocity, seasonality signal, supplier lead times, in-transit inventory. Drafts the replenishment plan per SKU with trade-offs surfaced. Analyst reviews exceptions and approves the override on high-stakes items.
Customer service
Responsibilities to review
- Read the customer query
- Pull order history and shipping status
- Check returns eligibility and apply policy
- Draft the response and send, or escalate
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI reads the customer query, pulls order history, shipping status, returns eligibility. Drafts the response with the policy correctly applied. Rep reviews and sends, or escalates the case that AI flagged.
Returns processing
Responsibilities to review
- Read the return reason and order context
- Pull customer history and check policy
- Draft the refund or replacement decision
- Review flagged cases (high-value, repeat, abuse)
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI reads the return reason, order context, customer history, policy. Drafts the refund or replacement decision with reasoning logged. Specialist reviews the flagged cases (high-value, repeat returner, suspected abuse).
Reference workflows to adapt to your organization
Explore these reference workflows and adapt one to your organization. See a proposed division of work between people and agents, with decisions, responsibilities and handoffs. Task Intelligence provides the detail behind the redesign.
Order-to-Cash
Retail order-to-cash spans cart, payment, fulfillment, invoice, returns. Explore proposed agent contributions and human decisions across these steps. Confirm approval gates and exceptions with your process owner.
Inventory Management
Par-level monitoring, reorder triggers, dead-stock identification, cycle counts. The redesign shows agent-led inventory health monitoring with the buyer team owning the strategic calls.
Customer Success
Onboarding, adoption, expansion, retention. The redesign collapses outreach + health-monitoring + expansion-signal into an agent-led playbook with humans owning the strategic accounts.
Reverse Logistics / Returns
Returns is a workflow inversion of order-to-cash. The redesign shows where agents own routine returns and where specialists own the disputed or high-value cases.
Prepare your workforce for the redesigned work.
Your workforce brings people and AI agents together. Workflows define how they share the work. Define what agents do, who reviews their output, and when they hand work back. Use Task Intelligence to understand the tasks within each step, then prepare your people to build and run the new version through simulations, hands-on projects and skill validation. Revisit affected responsibilities and readiness when the work changes.
Task evidence within retail workflows
These research inputs include vendor and source-reported software capabilities, product features and descriptions of work. The stored classifications in this selection contain 233 source examples for AI support and 261 for automation. They are not validated workflow outcomes or proof of agent performance. Task Intelligence helps examine the work in context; review each example against your responsibilities, controls and exceptions before using it in a redesign. The first 5 AI-support examples are below.
261 source examples classified for automation›
How we work with retailers
Co-sponsored model. Functional head (VP Merchandising, Head of CX, VP Supply Chain, COO) plus your transformation office in the room. The 6 to 8 week AI Bootcamp prepares people for agreed workflow responsibilities through simulations and assessments. Transformation Engagement scales across the operating model, same OMS, same WMS, same brand voice.
Want a retail-specific walkthrough?
20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your role mix and your brand frame.
Book a time