Post-purchase is becoming a system

 

Everything after checkout is still fragmented.

 

Returns in one system. Disputes in another. Chargebacks somewhere else.

 

Decisions are manual, inconsistent, and lack shared context.

ABOUT US

There is no system for post-purchase

  • Workflows are fragmented across tools and teams.
  • Decisions are inconsistent. Data is disconnected.
  • What should be structured remains manual.

01.

THE PROBLEM

Post-purchase is broken

Today, post-purchase operations are spread across disconnected tools and workflows.

  • Returns in one system
  • Disputes in anaother
  • Chargebacks somewhere else

Decisions are made manually, inconsistently, and without shared context.

What should be a system is still a collection of workflows

02.

THE THESIS

Our thesis

As this dataset grows, it enables a new layer of AI-driven decisioning across post-purchase.

The company that captures this dataset will define how AI is applied to post-purchase.

  • Every case is a decision.
  • Approve. Reject. Refund. Escalate.
  • Decisions today are fragmented and manual
Post-purchase should be one system, not many

03.

WHAT WE ARE BUILDING

Operating system for post-purchase

A single platform where returns, disputes, warranties, and chargebacks are:

  • Unified into one system
  • Governed by consistent rules
  • Captured as structured data
Starts as operations becomes a system that improves

04.

WHY NOW

Post-purchase volume is growing

At the same time, the ability to capture and structure data — and apply it to decisions — has fundamentally changed.

  • More cases, more complexity, more decisions
  • Costs are rising. Complexity is growing
  • The systems to manage it have not evolved
The next generation of commerce infrastructure will be built after checkout
DESIGN PARTNERS

Work with us as a design partner

We’re working with a small number of forward-thinking teams to define the future of post-purchase.

Get early access, shape the product, and build a long-term advantage.

Be part of the first teams building with Wism.

* Limited to a small number of teams *