Robo Claw's Pilot, PoC and Validation Approach for NGO Non-Profit Retail Operations
Based on the requirements defined in the Refine STEP, this builds Agent, Skill and Tool Policy within a limited scope of 1 store, 1 e-commerce channel, 1 product category, 1 donation intake process, 1 data classification and 1 system connection, and validates misclassification, mis-summarization, donation and product condition misrecognition, product category misrecognition, errors in product descriptions and condition display, price information misrecognition, inventory and order information misrecognition, personal, payment and delivery information contamination, welfare and employment support information contamination, misdelivery, unauthorized publication, incorrect updates, duplicate execution, duplicate listings, duplicate orders, Prompt Injection, SaaS/API outages, API specification changes, human approval, escalation, stopping, rollback and manual operation switchover, before deciding on production rollout.
Who This Is For
Who This Is For
This is for store operations managers, product quality managers, e-commerce operations managers, and personal data protection officers who defined requirements in the Refine STEP.
What You'll Decide
What You'll Decide in This Step
In the Build & Validate STEP, you build a limited-scope Pilot, run normal-path and abnormal-path tests, and then decide whether to proceed to production rollout.
Pilot Scope
Pilot Scope
Validating multiple stores and multiple channels at the same time makes permission design and result evaluation more complex. We recommend limiting the first Pilot to the following scope.
1 Store or 1 E-Commerce Channel
Even if you operate multiple stores, limit the first Pilot to 1 store or 1 e-commerce channel.
1 Product Category, 1 Donation Intake Process
Narrow the target product category and intake process down to one to make risk easier to evaluate.
1 Inquiry Type, 1 Data Classification
Limit the target inquiry type and data classification to one.
1 System Connection
Limit the connected POS, e-commerce and inventory management systems to one.
Industry Challenges
Common Challenges During the Pilot
Test coverage is incomplete
Only the normal path is checked, and abnormal-path tests such as personal/payment information contamination or misdelivery tend to be insufficient.
Production rollout criteria are not decided in advance
Teams sometimes proceed without clarifying what must be satisfied after the Pilot ends before moving to production.
There is no procedure for reverting to manual operation
When a problem occurs during the Pilot, a procedure for switching back to manual operation is sometimes not in place.
The product quality manager is involved too late
When the product quality manager is not involved from the test design stage, rework tends to occur later.
Method
Implementation Steps
1. Finalize the Pilot scope
Finalize the scope of 1 store, 1 e-commerce channel and 1 product category.
2. Build Agent, Skill and Tool Policy
Based on the design defined in the Refine STEP, actually build the Agent, Skill and Tool Policy.
3. Prepare test data
Prepare test product and order data that does not include production buyer information or payment information.
4. Run normal-path tests
Confirm that initial inquiry classification, product information organization and drafting of product descriptions are performed correctly.
5. Run abnormal-path tests
Based on the abnormal-path test items below, confirm behavior for misrecognition, misdelivery, information contamination and outages.
6. Validate human approval, stopping and rollback
Confirm that human approval functions correctly and that stopping and rollback are possible when a problem occurs.
7. Validate switchover to manual operation
Confirm that the procedure for switching to manual operation functions when the Agent is stopped.
8. Decide on production rollout
The store operations manager and product quality manager compare test results against the Go/No-Go criteria and decide whether to proceed to production.
Test Scenarios
Abnormal-Path Test Items
The following are example abnormal-path test items to validate in a Pilot for NGO/NPO non-profit retail operations. Add and adjust these to fit your organization's operations and systems.
| Test Item | Expected Scenario | What to Check |
|---|---|---|
| Misclassification | An inquiry or donated item type is classified incorrectly | Whether misclassification is detected and human correction functions |
| Mis-summarization | An error occurs in the summary of sales results or activity reports | Whether a human can check the difference between the content before and after summarization |
| Donation/product condition misrecognition | The condition or quantity of a donated item is read incorrectly | Whether misrecognition is detected and a human can correct it before finalization |
| Product category misrecognition | Incorrect product category candidates are presented | Whether the design has a human making the final decision |
| Errors in product description/condition display | A product description or condition display contains incorrect content | Whether it is presented in a form a human can check before publication |
| Price information misrecognition | The market price of a similar product is recognized incorrectly | Whether the design has a human finalizing the price |
| Inventory/order information misrecognition | Inventory counts or order content between store and e-commerce are recognized incorrectly | Whether it is presented as a discrepancy candidate with a human finalizing it |
| Personal/payment/delivery information contamination | A buyer's personal, payment or delivery information is unintentionally included in output | Whether it can be removed through pre-output filtering and human review |
| Welfare/employment support information contamination | Evaluation or status information about welfare workers is unintentionally included in output | Whether access restrictions and filtering function |
| Misdelivery | Content is sent to the wrong recipient or with wrong content to a buyer or donor | Whether pre-send approval, send logs and a cancellation procedure for misdelivery function |
| Unauthorized publication | Unapproved content is published to e-commerce or social media | Whether the design prevents publication without going through a pre-publication approval flow |
| Incorrect updates | Inventory, price or order information is updated incorrectly | Whether pre-update checks and saving of change history function |
| Duplicate execution | The same process is executed multiple times | Whether idempotency checks prevent duplication |
| Duplicate listings | The same product is listed redundantly across multiple channels | Whether duplication is detected by checking listing history |
| Duplicate orders | The same order is registered redundantly | Whether duplication is detected by checking order history |
| Prompt Injection | Instructions hidden in input data cause the Agent to behave unintentionally | Whether the design ignores suspicious instructions and does not reach finalized processing |
| SaaS/API outages | A connected SaaS or API does not respond | Whether it stops safely on error and notifies the responsible person |
| API specification changes | A connected SaaS's specification changes | Whether the anomaly is detected and automatic execution is halted until re-validation is performed |
| Human approval | Finalized processing is about to be executed before approval | Whether the design prevents send, publication or update from being finalized without approval |
| Escalation | Output occurs that raises suspicion of impact on quality, safety or price | Whether it is reliably escalated to the business, product quality or personal data manager |
| Stopping/rollback | Response after incorrect output or processing has occurred | Whether stopping execution and the procedure for recovering to the prior state function |
| Manual operation switchover | A situation where the Agent is temporarily unavailable | Whether a procedure for switching to manual operation is in place and operations can continue |
| Production rollout criteria | The rollout decision at the end of the Pilot | Whether the responsible person can decide in line with the Go/No-Go criteria |
Data & Systems
Data and Systems Used
Human-in-the-loop
Where Human Approval Is Required
- Review and approval of product category candidates and draft product descriptions
- Manager review of candidates involving personal, payment, delivery or welfare information
- Content review before executing a send or publication to a buyer or donor
- The decision to stop and roll back when an anomaly is detected
Measurement
KPI
Abnormal-path test pass rate
The share of defined abnormal-path test items that met the pass criteria
Human review rate
The share of outputs for which human review was carried out
Number of misdelivery/duplicate listing incidents
The number of misdelivery and duplicate listing incidents that occurred during the Pilot period
Pitfalls
Common Pitfalls
Skipping abnormal-path tests
Moving to production after checking only the normal path risks starting operation without noticing payment information contamination or duplicate listings.
Testing with production data
Using production data containing buyers' personal or payment information directly in testing creates an unnecessary risk of information leakage.
Deciding Go/No-Go criteria after the fact
If criteria are not defined in advance, the production rollout decision becomes ad hoc.
Go / No-Go Criteria
Rollout Considerations
- All defined abnormal-path test items have shown the expected fail-safe behavior
- The human approval and escalation paths have been confirmed to actually function
- The stop/rollback procedure and the manual operation switchover procedure have been tried and confirmed to function
- The store operations manager and product quality manager have reviewed the results and agreed to production rollout
- There is a clear path for the production monitoring and logging setup to meet the Deploy & Operate requirements
FAQ
Frequently Asked Questions
What is a reasonable length for the Pilot?
It depends on the volume of work and the number of test items, but a few weeks to about 1-2 months is often used as a guide. We recommend prioritizing coverage of abnormal-path tests rather than proceeding on a fixed timeline.
Is it okay to use production buyer data for testing?
We do not recommend it. Prepare anonymized/pseudonymized test data and avoid testing with data that includes production personal information or payment information.
What should be checked in price information testing?
Confirm that the design stops at presenting price-related reference material, and that the final pricing decision is always made by the store manager or e-commerce manager.
Who decides on production rollout?
We recommend that the store operations manager and product quality manager decide by comparing test results against the Go/No-Go criteria. When there are points involving payment or personal information, the personal data protection officer also joins the decision.
Let's organize your Pilot and PoC design together.
Review the target scope, test items and Go/No-Go criteria, and discuss your Pilot design on our official LP.