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The work

What the systems actually output.

Client case studies are publishing shortly. In the meantime, here is the shape of the artifacts we build — the forecasts, the reconciliations, the recommendations that show up inside a client's stack every day. Illustrative, not decorative.

Case studies

Two full write-ups are with the operators for approval. Anonymised until then.

Apparel · $6M · Shopify Plus

Publishing shortly

900 SKUs, DTC + wholesale, no data team.

Stockouts 8.1% → 2.4%

"The forecast quietly took over reorder decisions inside six weeks."

Home & kitchen · $12M · Shopify + Amazon

Publishing shortly

Marketplace settlements untouched for months, ops reconciling by hand.

12 hrs/wk of ops time returned

"The reconciliation just runs. Exceptions come to us instead of the whole file."

Every card is the actual shape of a system we ship. Captions describe the business outcome, not the technique.

Sample

Demand forecast — actual vs predicted

12-week SKU-level forecast against realised sales. Stockouts dropped from 8.1% to 2.4% over one apparel season.

Outcome · Fewer stockouts, less locked cash

Sample

Reconciliation exception report

Overnight match across Shopify orders, Amazon settlements, 3PL charges and refunds. Only exceptions surface to a human.

Outcome · 12 hours a week returned to ops

Sample

Recommendation output payload

Cross-sell and category recommendations, ranked, personalised, delivered as a service to the storefront and email.

Outcome · +18% average order value in the first cycle

Sample

Customer segmentation view

Behavioural segments with repeat probability, LTV and churn signal. Feeds the flows in Klaviyo or a comparable ESP.

Outcome · Retention email revenue up, discounting down

Sample

Inventory reorder recommendation

Reorder points, safety stock and warehouse split, computed from real sell-through and lead-time variance.

Outcome · 31% less excess stock, no rise in stockouts

Sample

System architecture diagram

Shopify · Amazon · ERP · POS · 3PL · ad platforms into one trusted model. The pipeline the four systems sit on top of.

Outcome · One number that means one thing

HappySellers live lab

Every technique above has already run on real commerce.

HappySellers is the retail platform we own and operate. 250+ active sellers, 6,000+ registered businesses, real orders, real inventory, real returns, real settlements. Every model we recommend to a client has been tested on our own GMV first.

Live sellers

250+

Registered businesses

6,000+

Want the same output for your business?

Book a 30-minute call.

We'll tell you honestly which of these artifacts would move a real number in your business right now — and how long it takes to ship.

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Practical AI implementation for e-commerce operators. No hype.