The 30-Day Inventory AI Challenge
The stock report says one inventory value. The books say another. The AI summary never noticed.
30 AI workouts on the IOP method: the same 5 stages every diagnostic runs, from the first data entry to the one page the owner acts on. Every workout ends on a number that must match.
AI does not fix a wrong inventory number. It makes it look finished.
Built by Sharon Custer. She works where finance, operations and inventory meet, to find where the three disagree and where the cash is stuck. She coaches finance professionals on putting AI to work on their own numbers.
30 workouts in the order the money moves. Stage 1 proves the number. Every stage after it stands on the one before. No forecast is better than the data under it.
Everyone works the same practice distributor, so every workout ends on a number that must match. Nobody has to wonder whether the AI got it right.
Run the same workout on your company's exports. Where your data disagrees with the answer is where the cash is, and it is yours to find.
Day 1 to day 30
Answer them about your own company before workout 1. Most answers are a best guess. Answer them again after workout 30: each one with the number and where it came from.
The IOP method
6 workouts a stage, all 30 open the day you join. The 6th workout of each stage is the stage's build, and it comes with the worked answer.
Accounting data accuracy
Where cash hides
Cost landing in the wrong period, absorbed as an adjustment every month.
Walk away with
A data issue log: every issue, its dollar effect, and its owner.
Trust the closeOperations and inventory management
Where cash hides
Shrink, rework and returns that nobody prices, so margin carries them quietly.
Walk away with
A COGS check that reruns every month.
Trust the closeInventory analysis and KPIs
Where cash hides
The bestseller by revenue that turns 1.5 times a year and parks the capital.
Walk away with
Every product ranked by the cash it holds, with what to act on today.
Find the cashPlanning and financial modeling
Where cash hides
Purchases committed before the cash arrives, covered by the credit line.
Walk away with
A purchase test for every order over a set amount: forecast, first order, cash timing.
Find the cashReporting and strategic planning
Where cash hides
Reports that land after the decisions, so this month is run on last month's numbers.
Walk away with
A one-page executive summary and action plan, every number traced to its stage.
Get the reportWhat day 30 looks like
Every stage leaves something that runs again next month. Together they are an inventory finance system, built by the person who runs it.
Every issue in the inventory data, its dollar effect and its owner.
Margin that holds, because the cost behind it is checked every month.
Every product ranked by the cash it holds, with what to act on today.
Every large order tested for demand, first-order size and cash timing before it is signed.
The owner's page: what changed, what it costs, who acts, every number traced.
Run on your own exports, the stage 1 workouts find where your numbers disagree, in dollars. That is the number to walk in with.
Join
US$497
Finish stage 1 within 60 days of your purchase and US$200 of your challenge comes off a Build-With-Me Session. After 60 days the credit ends.
When your numbers disagree with the answer
Harbor Line Supply has a right answer. Your own data will not always agree with it. A private coaching session takes the question your data raised, on your own numbers, in your own Claude. US$575 for the session.
She doesn't critique outputs, she diagnoses the system behind them: backtesting, train/test splits, auditability. That's the rigor senior finance professionals actually need.
Albert LeeFounder, FP&A advisory practice. FCPAI've seen how she breaks down technical AI and data concepts into something finance professionals can actually apply. Her blend of operational finance background and AI fluency is rare, and it makes her advice both credible and immediately useful.
Charles T.CEO, intellectual property technologyShe has great ability in distilling complex subject into practical workflow and application.
Emily MooreSenior finance and FP&A leader. CPA, PMPShe brings positive energy, strong subject matter expertise, and practical AI insights to every interaction. Her feedback was always constructive and actionable, helping participants elevate their thinking.
Sharon is knowledgeable and approaches a situation from a real-world perspective.
Sharon has deep expertise in AI and she teaches it with ease, giving students tips without giving a complete solution from the start. This approach motivated me extremely to come up with my own solution.
Her coaching style encourages critical thinking, problem-solving, and genuine understanding rather than reliance on prescribed answers. She creates an engaging learning environment that consistently challenges and inspires students to reach a higher level.
Sharon's guidance was exceptional. She provided thoughtful, detailed reviews of my project submissions. By expertly identifying both my strengths and specific areas for improvement, she helped me take my AI skills to the next level.
She provided thorough, insightful feedback on our projects and demonstrated deep expertise in the subject matter. Highly valuable, helping me improve both my work and my understanding of the concepts.
I received very thorough feedback that was an appropriate mix of positive and constructive: direct and actionable as well as completely fair and on point.
Sharon is an excellent hands-on instructor. Her coaching is amazing and her AI skills are incredible.
Sharon was a great coach, providing comprehensive feedback on my assignments.
She offered insightful and timely responses to student queries during live sessions, and offered 1:1 support to all students within the cohort. She is knowledgeable, supportive and humble: a rare combination.
Sharon helps businesses maximize their cash flow through scenario planning and forecasting, using POs, inventory, cash and cash flow assumptions. She has made this turnkey with AI powered tools: custom agents, dashboards, and monthly workflows. You upload your data each month, it is cleansed and normalized, and it feeds interactive dashboards for full visibility and control.
She's a forerunner building a new category in AI in inventory optimization, where she shares regularly on use cases, tips and best practices. A strong finance perspective, a collaborative spirit, and a genuine interest in helping others grow in this evolving AI finance landscape.
Finance leaders coached on AI workflows. Names as they gave them, roles from their own profiles.
Who built it
My work sits where finance, operations and inventory meet. Each one keeps its own version of the same number, and the cash gets stuck where they disagree. Finding that place is what I do.
I learned it from the inside: inventory and the P&L at 3M, then CFO roles across manufacturing and distribution, and import and export between Asia and the Americas.
Today I coach finance professionals on putting AI to work on their own numbers, inside the AI Finance Club and one to one. Every workout in this challenge comes from a workflow built for real inventory work.
Questions
Claude. Most workouts also run in ChatGPT, and the checks work in any tool.
No. Plain instructions, spreadsheets and Claude. Nothing to install.
All 30 open the day you join, on one private page. One a day works best: 30 days, or faster if you like.
Everything stays on your private workout page. Pick up where you stopped.
The answer does. Every workout ends on a number that must match, and every stage's build comes with the worked answer. To have your own company's numbers looked at, book a private coaching session.
Every workout runs on Harbor Line Supply's files. Switching to your own exports is your choice, and stage 1 shows how to keep company numbers separate.
Day 30
Where it came from, what was checked, and why it holds.
