Sales velocity and ABC
Separate high-consequence SKUs from the long tail before applying the same reorder policy to everything.
InventoryOps · private pilot research
Explainable safety stock, reorder points, and landed cost — with every input visible before you act.
Pre-launch research · No automatic access to your store · No payment collected on this page
01 / Validate the workflow
A 20-minute review is the strongest signal we use before building. We will map your current reorder or landed-cost workflow; this is not a sales call.
02 / One decision chain
The private pilot is deliberately narrower than an ERP. It turns existing product, inventory, and order facts into a small set of inventory decisions.
Separate high-consequence SKUs from the long tail before applying the same reorder policy to everything.
See the service level, demand variation, lead-time inputs, and fallback used in every result.
Allocate freight, duty, insurance, and FX loss to H3 purchase-order lines with deterministic rounding.
Compare current stock by Shopify location. The first pilot shows the facts; it does not auto-execute transfers.
03 / Formula evidence
SS = z × √( LT̄ × σD² + D̄² × σLT² )
ROP = D̄ × LT̄ + SS
Each run records the demand window, service level, lead-time assumptions, formula version, output, and any manual override. If the history is insufficient, the product says so instead of inventing precision.
04 / Pilot price hypothesis
These are research price points for the proposed monthly product. They are not an active subscription or a locked-price promise.
Not promised in the first pilot: writing Shopify native purchase orders, transfer execution, automatic FX, API access, custom rule platforms, dedicated onboarding, or an SLA.
05 / Concrete evidence
This sample illustrates the proposed allocation behavior. It is a product specification example, not a customer testimonial.
A $300 freight charge allocated by line value. The line results sum to the original cost exactly.
| SKU | Line value | Freight |
|---|---|---|
| COFFEE-1KG | $1,500 | $180 |
| FILTER-100 | $750 | $90 |
| MUG-WHITE | $250 | $30 |
| Total | $2,500 | $300 |
The proposed Shopify app needs product, inventory, location, and limited order-line facts. It does not need customer names, email addresses, shipping addresses, phone numbers, or payment details for inventory calculations.
During this research page, no Shopify authorization occurs. The form only sends the store URL, work email, selected pain, experiment variant, and traffic attribution needed to evaluate demand.
06 / Boundaries
No. The proposed product is a narrow inventory decision layer: reorder inputs, landed cost allocation, multi-location visibility, and an InventoryOps PO worksheet. It is not a POS suite or full ERP.
Not in the proposed first pilot. The first version uses its own PO worksheet plus CSV export. Native Shopify PO writing remains out of scope until a supported public API and permissions are verified.
This research page is testing that positioning. The calculation core is specified as deterministic and versioned. The alternate page message tests whether merchants respond more strongly to AI-assisted planning language; it does not silently change the price or form.
No public launch date is promised. We will decide whether to build after the demand, API, permission, and calculation gates pass. Qualified research participants may be invited to a private pilot.
Research privacy notice
We collect the store URL, work email, selected inventory problem, requested next step, experiment variant, anonymous visitor/session identifiers, UTM parameters, and referrer. We use them only to evaluate demand, contact requested participants, prevent duplicate experiment counts, and plan the pilot.
We do not authorize or read your Shopify store from this page. Research responses are processed by Formspree and delivered to the project mailbox. Ask for access, correction, or deletion by replying to the research email. Responses that do not enter a pilot are deleted after 90 days.
Pilot terms