Reporting & operations reviews
Rebuilding reports from scattered spreadsheets? First align data fields and calculation rules, then design the analysis and reporting workflow.
Industry experience × AI in practice
Bring AI into
everyday business.
Drawing on warehouse and logistics automation, I turn repetitive reporting, project documentation and knowledge work into AI workflows that can be tested and reused.
01 — Use cases
Start where work takes too much time.
Scope the work around a specific task.
Test one use case before expanding.
Plans & project documentation
Plans, interface specifications and acceptance criteria spread across files? Use checklists to help identify gaps, inconsistencies and open questions.
Knowledge & working methods
Plenty of saved documents, but nothing useful when a question arises? Organize experience into method cards and retrieve it around real problems.
02 — Projects
Turn ideas into tools.
Make their limits clear.
These are personal research and development initiatives,
not examples of work delivered to enterprise clients.
A
Reporting workflows · Practice area
Monthly automation equipment reports
Developing a repeatable workflow for consolidating data across warehouses, classifying equipment, analyzing trends and preparing reports.
What to validate
Are calculation rules consistent? Can results be checked with a different dataset?
For operations and equipment management teamsB
Knowledge application · R&D project
BIE · From reading to practical application
Organizing methods from books and reference materials into cards, then retrieving them for specific questions to explore their practical use at work.
What to validate
Are the retrieved methods relevant? Are recommendations supported by the source materials?
For knowledge organization and decision supportC
AI workflows · R&D project
Context Governor · Context management
Managing persistent constraints, task progress and context budgets in long-running tasks so work can continue from where it left off.
What to validate
When repeated input is reduced, are essential rules and facts still preserved?
For ongoing, iterative AI tasks03 — How we work
Run a focused pilot.
Let results guide the next step.
See how the work happens
Review existing materials, repetitive tasks, the people involved and the areas most in need of improvement.
Agree on inputs and success criteria
Choose a clearly scoped task. Define sample inputs, output formats and human review requirements.
Test with sample inputs
Record errors and exceptions to determine which steps can be reused and which still need human attention.
Make the workflow usable by others
Document rules, usage guidance and maintenance needs within the agreed scope, then discuss expansion.
04 — About BIBBY
Industry experience.
A hands-on approach.
I’m Bibby, Jiang Bicheng. I work in warehouse and logistics automation, with a focus on WMS, WES, WCS, project implementation, operations and maintenance.
I experiment with AI to organize materials, support analysis and build tools, while documenting the problems I encounter. Bibby AI brings these explorations together and provides a starting point for conversations about business AI needs.
For individual explorers
Explore my work, one Skill at a time.
I also share my work on natural Chinese writing, context management and practical knowledge application.
Xiaohongshu · Bibby’s AI Shop ↗LET’S TALK
Where in your workflow
would you like to try AI?
Tell me how the work is done today, what takes the most time and what outcome you want.
A brief description is enough to start; there’s no need to send internal documents.
