Pilot, PoC & Validation Methods for Robo Claw at Large-Scale Warehouses and Distribution Centers
Working from the requirements defined in Refine, build the Agents, Skills, and Tool Policies for a scope limited to a single warehouse and a single process, validate them across normal and exception scenarios, inventory discrepancies, duplicate execution, human approval, and rollback, and confirm they meet the criteria for moving into production.
Narrow the Pilot to one warehouse and one process, and validate not only the normal path but also exception scenarios (WMS connection failures, insufficient permissions, erroneous updates, duplicate execution) along with rollback and the procedure for switching to manual operation. Skipping exception testing makes problems such as erroneous inventory updates far more likely to surface once you are running in production.
Who This Is For
Who This Is For
This article is for warehouse operations leads, WMS administrators, and IT staff who have already firmed up their requirements in the Refine step.
What You'll Decide
What You'll Decide in This Step
In Build & Validate, you finalize the scope of the Pilot, build the Agents, Skills, and Tools, run tests for both normal and exception scenarios, and assess whether the results meet the criteria for moving into production.
Industry Challenges
Challenges Specific to Large-Scale Warehouses and Distribution Centers
Preparing test data is difficult
Actual inventory data and business-partner information cannot be used for testing as-is, so preparing test data takes time.
Exception scenarios are easy to overlook
Normal inbound and outbound flows are straightforward to validate, but exception cases such as WMS connection failures and erroneous updates are often left out of scope.
Risk of duplicate execution and erroneous updates
Scheduled runs and retry processing create the risk that inventory quantities are updated twice, or overwritten with stale data.
Criteria for moving to production are vague
In many cases the criteria for judging whether Pilot results justify a move to production have not been set in advance.
Method
Implementation Steps
1. Fix the scope of the Pilot
Narrow it to one warehouse and one process, and design the Pilot around a scope that is easy to validate.
2. Build the Agent, Skill, and Tool
Build the Agent needed for the target process, the Skill covering the operating procedure, and the Tool for WMS operations.
3. Configure the Tool Policy
Define, as a Policy, the range of operations a Tool is allowed to perform (read/write, Allow/Deny).
4. Prepare test data
Prepare test inventory data modeled on real data, and build a validation environment that contains no confidential information.
5. Test normal scenarios
Confirm that the inbound/outbound checks, daily report creation, and discrepancy detection flows work as expected.
6. Test exception scenarios
Check exception scenarios such as WMS connection failures, insufficient permissions, erroneous updates, and duplicate execution.
7. Verify human approval and rollback
Confirm that the approval flow works as designed and that you can return to the previous state when a problem occurs.
8. Run user acceptance testing
Have the warehouse operators and WMS administrators who will actually use it try it out, and confirm it is workable in practice.
Test Scenarios
Pilot Evaluation Table
The following are examples of validation items. Record each result on a scale such as three levels — pass, conditional pass, fail — and use it as the basis for the production go/no-go decision.
| Validation item | Example scenario | What to check |
|---|---|---|
| Normal scenario | Routine inbound/outbound checks and daily report creation | Whether the expected drafts and organized results are produced |
| Exception (WMS failure) | Connection failure to the WMS | Whether it stops safely on error without emitting incorrect information |
| Exception (duplicate execution) | Overlapping or re-run scheduled executions | Whether inventory quantities are updated twice (idempotency) |
| Human approval | Approval of an inventory quantity change | Whether updates can occur without approval, and whether an approval record is kept |
| Rollback | Reverting after an erroneous update | Whether the previous state can be restored quickly |
Data & Systems
Data and Systems Used
Human-in-the-loop
Where Human Approval Is Required
- A test owner reviews and approves whether the inventory update proposals and daily report drafts generated in the Pilot should be applied
- The IT department and WMS administrators review the Tool Policy configuration
- An accountable owner decides on the move to production based on criteria defined in advance
Measurement
KPI
Test scenario pass rate
The share of normal and exception scenarios that passed
Number of erroneous updates and duplicate executions
The number of incorrect operations and duplicate processes detected during the Pilot
User acceptance rating
Actual users' assessment of usability and fit with their work
Pitfalls
Common Pitfalls
Declaring a pass based on normal scenarios alone
If you skip validating exception cases, the behavior during a WMS failure will be unexpected once you are running in production.
Testing with production inventory data
Using real inventory and business-partner information from the validation stage raises the risk of erroneous updates and information leakage.
Not preparing a rollback procedure
Without a procedure for reverting when a problem occurs, recovery takes longer and the impact on operations grows.
Go / No-Go Criteria
Production Go/No-Go Checklist
- All normal scenarios have passed
- Exception scenarios (WMS failure, duplicate execution, erroneous update) have been validated
- The human approval flow works as designed
- A rollback procedure is in place and reverting has actually been verified
- Operations outside granted permissions have been confirmed to be denied
- Practical issues raised in user acceptance testing have been resolved
- A procedure for switching to manual operation during an outage is in place
FAQ
Frequently Asked Questions
Roughly how long should a Pilot run?
It varies with the target process and the complexity of the WMS integration. We cannot give a single fixed duration, so please contact us for an individual discussion based on your scope.
Can we validate without using production inventory data?
Yes. We recommend preparing test data modeled on real data and running the validation in an environment that contains no confidential information.
What happens if the Pilot fails?
You revisit the requirements and Tool Policy from Refine and run the Pilot again. We recommend not forcing a move to production, and continuing validation until the criteria are met.
Shall we organize a warehouse operations pilot together?
The scope of targets, test scenarios, and criteria for production transition can be specified through consultations in the official LP.