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
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
Four apparel engagements. Every one triggered by a specific question a founder, COO or CFO had already asked themselves in a Monday meeting.
Apparel · $6M · Shopify Plus
Case study900 SKUs, hero pieces dying in the first 72 hours of every drop, COO rebuilding the reorder sheet every Sunday.
Stockouts 11% → 2.4%
"Every Sunday night my COO rebuilds the reorder sheet from scratch. Why can't the system just tell us what to buy on Monday?"Read the case study
Women's fashion · $12M · Shopify Plus
Case studyReturn rate of 41% eating 14% of gross margin. Size charts and 3D try-on had already moved the number by less than two points.
Returns 41% → 30%
"We already know a specific customer buying a specific dress will return it. So why do we ship it exactly the same way?"Read the case study
Contemporary apparel · $4M · Shopify
Case study1,800 thin SKU pages, agency quoted $200K for a 6-month rewrite. Founder priced that against Q1 inventory and said no.
1,400 pages in 11 weeks at $22K
"An agency wanted six months and $200K to rewrite our catalog. That's more than we spent on inventory last quarter."Read the case study
Contemporary apparel · $9M · Shopify + wholesale
Case studyMarkdowns called by feel in a Monday meeting. Fast movers cut too early. Slow movers sat past the season. Wholesale conflicts every quarter.
Full-price sell-through +11 pts
"Every markdown feels like a coin flip. When do I cut, how deep, and how long before I cut again? Nobody in this building actually knows."Read the case study
Proof gallery.
Every card is the actual shape of a system we ship. Captions describe the business outcome, not the technique.
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.