Interactive E-commerce Automation POC

Turn repetitive customer questions into verified answers, commerce actions, or clean human handoffs.

Experience how an AI-assisted commerce concierge could support product questions, delivery checks, order status, and exceptions using controlled store information and workflows.

See Owner Impact
Conceptual POC · Synthetic Data · No Production Systems
This website is a conceptual proof of concept using fictional data. It demonstrates a possible workflow and is not connected to production systems. All records and estimates are synthetic or illustrative and do not represent guaranteed results.
AIunderstands intent and communicates
Automationchecks rules and performs approved actions
Peopleretain exceptions and approvals
The current workflow

Your support team isn't answering one difficult question. They're answering hundreds of small ones.

Customers ask about fit, products, delivery, inventory, orders, and returns. Staff repeatedly interpret the request, search store information, check policy, write a reply, and take the next action.

The bottleneck: often not judgment — but repeatedly coordinating information across systems.
1
Customer question
Chat, email, social, or support ticket
2
Employee interprets the request
What does the customer actually need?
3
Searches store information
Catalog, inventory, order, or tracking
4
Checks policy and permissions
Shipping, returns, refunds, exceptions
5
Writes response and updates system
Cart, ticket, order record, or notification
Interactive demonstration

Try the shopper journey.

Follow the suggested prompts or type your own. Every result is driven by synthetic store records and explicit demo rules.

NORTHSTAR APPAREL
Fictional storefront
Cart 0
Synthetic product
Coastal Collection

Coastal Linen Shirt

$79

Lightweight pre-washed linen with a relaxed fit for warm-weather everyday wear.

Size
Material100% pre-washed linen
FitRelaxed
CareCold wash · Hang dry
Medium inventory4 units
Owner view

Translate the customer experience into an operating view.

These metrics are synthetic POC data. They show the kinds of measures a pilot could track — not actual customer results.

Customer conversations37
Resolved automatically29
Escalated8
Assisted cart actions6
Synthetic POC Data
TimeCustomer intentOutcome
11:47 PMProduct questionAuto-resolved
11:49 PMDelivery questionAuto-resolved
11:50 PMCart requestCart updated
8:14 AMOrder statusAuto-resolved
9:03 AMDamaged productEscalated
Before and after

What changes operationally?

Before

  • Customer question enters support inbox.
  • Employee interprets the request.
  • Employee searches catalog, order, or policy information.
  • Employee writes the response.
  • Employee performs the next action.

With the ShopAssist concept

  • AI interprets the request.
  • Approved information is retrieved.
  • Automation checks rules and permissions.
  • Routine requests complete immediately.
  • Exceptions arrive packaged for employee review.
Illustrative opportunity calculator

What might the opportunity look like in your operation?

Adjust the assumptions. This estimates potential labor capacity only — not guaranteed cash savings or ROI.

Illustrative Estimate
Current handling18.5 h/wk
Potential future human handling2.8 h/wk
Potential capacity recovered15.7 h/wk
Potential monthly capacity68.1 h/mo

Based only on the assumptions shown. Actual results depend on workflow volume, exception rates, systems, implementation, and employee adoption.

How the solution works

Different jobs require different controls.

AI — understands and communicates

  • Intent detection
  • Information extraction
  • Knowledge retrieval
  • Response generation
  • Conversation summarization

Automation — checks and acts

  • Inventory lookup
  • Shipping calculation
  • Order lookup
  • Identity verification
  • Cart and ticket updates

People — control exceptions

  • Refund approval
  • Damaged-item decisions
  • Policy exceptions
  • Sensitive changes
  • Professional judgment
AI interprets. Automation acts within approved rules. People retain judgment.
Human oversight and safeguards

Designed to know when not to automate.

✓ Product answers use supplied catalog data.
✓ Inventory is never invented.
✓ Delivery promises come from shipping rules.
✓ Order status comes from supplied order data.
✓ No autonomous refunds in this POC.
✓ Synthetic identity verification precedes order details.
✓ Unsupported questions escalate rather than guess.
✓ Human review is explicit for sensitive exceptions.
Fallback behavior: “I don’t have enough verified information to answer that accurately. I can send this to the support team.”
Pilot next step

Start with one repetitive workflow.

A practical first step is not automating your entire customer-service operation. It is identifying one high-frequency workflow, mapping its rules and exceptions, and testing whether a focused pilot produces enough value to continue.

1 · Discovery
2 · Workflow mapping
3 · Focused POC
4 · Limited pilot
5 · Measurement

What could this look like inside your store?

Bring us one repetitive customer workflow. Email us and we’ll help map the current steps, identify where AI and automation could fit, and determine whether a focused pilot is worth exploring.

No production system access or real customer data is required for an initial workflow discussion.

Explore a Pilot