We analyze your inventory data to identify areas where you can make improvements — reducing levels, avoiding stockouts, and improving your overall inventory management.
We dig into your inventory data to find the improvements that make a measurable difference.
Identify overstocked SKUs and right-size your inventory to free up working capital without hurting fill rates.
Get ahead of demand fluctuations with data-driven reorder points and safety stock recommendations.
Lower carrying costs, reduce waste, and improve margins with an inventory strategy built on your actual data.
We handle the analysis so you can focus on running your business.
We connect to your inventory systems, POS, and sales data to build a complete picture.
We identify demand patterns, seasonal trends, and anomalies across your product categories.
We calculate optimal reorder points, safety stock levels, and inventory allocation strategies.
You get a clear action plan with specific changes to make — plus ongoing monitoring as needed.
How smart simulation replaced gut instinct and freed up tens of thousands of dollars in working capital for a premium e-commerce brand.
Running out of inventory is simply not an option when your customers expect white-glove service. Every stockout is a broken promise — and a lost relationship.
Tying up tens of thousands of dollars in product that sits in a warehouse isn't a strategy — it's a gamble. That cash could be fueling growth instead of collecting dust on a shelf.
That was the exact dilemma facing the owner of a fast-growing luxury online store preparing to launch a highly anticipated new flagship product. He needed precision — and a plan he could trust.
Strong gut instincts about customer demand, but zero sales history for this new SKU. Forecasting felt more like guessing than planning.
His natural reaction was to order with gargantuan safety buffers "just to be safe" — a common move that silently destroys cash flow.
Key wholesale prospects were ready to sign within the month — and the earliest supplier lead time was three months out. No room for error.
Over-ordering locked up serious working capital. Under-ordering risked breaking the white-glove promise his brand was built on.
We didn't hand the owner a static spreadsheet or a single "recommended order quantity." Instead, we turned his own best-case, worst-case, and most-likely demand assumptions into a living, breathing picture of possible outcomes across the full launch year.
The result was a fully interactive simulation dashboard built around his inputs, his business, and his risk tolerance. No guesswork. No black box.
The owner could explore any scenario himself, in seconds — without needing a data analyst standing by.
Best-case, worst-case, and most-likely demand scenarios sourced directly from the owner.
Simulate full-year inventory requirements at multiple service levels with probabilistic logic.
Hand off an interactive tool he can update himself for every future launch.
Change a single demand assumption and instantly see the required inventory shift — no formulas to rebuild, no waiting for a consultant's follow-up email.
Dynamically adjust stockout tolerance — 99%, 98%, or 95% — and watch the cash impact recalculate in real time. Every percentage point has a price tag.
The owner quickly discovered that choosing a 95% service level instead of 99% would have reduced required inventory by over 81% — a trade-off only he could weigh.
Reduced both planned order quantity and average on-hand inventory — while fully preserving the white-glove service level.
Zero broken brand promises. The white-glove experience customers expected was protected throughout the launch window.
A self-service forecasting tool the owner can tweak himself for every future product launch. No consultant required each time.
The revised plan freed up tens of thousands of dollars that would otherwise have been tied up in warehouse space and holding costs — cash now available to fuel marketing, growth, and the next opportunity.
Capital that would have sat idle on shelves is now available for marketing, customer acquisition, and new product development — where it actually compounds.
The white-glove service commitment his brand was built on remained fully intact. Not a single customer experienced a stockout or degraded service.
The owner walks away with a repeatable, self-service decision-making tool he can apply to every new SKU — turning a one-time engagement into permanent capability.
Client name, exact product category, and certain quantitative details have been generalized to protect confidentiality. The 75% directional reduction, interactive dashboard approach, and service-level outcomes are unchanged.
Get a clear picture of what your data is telling you and a prioritized list of fixes.
Starting at $497 →Fully managed, Bayesian-powered email that maximizes lifetime customer value.
Starting at $300/mo →Reports that build and deliver themselves to key decision makers on your schedule.
Custom Pricing →Let us analyze your data and deliver a clear plan to reduce costs, avoid stockouts, and improve your margins.
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