Decide Smart. Buy Smart. Profit More.
A pre-purchase profit decision engine for UK sellers. Four calculation modules combine into one seller-specific decision — Launch, Test, Delay or Avoid — based on your own costs, supplier lead time and cash position.
The problem
Small sellers on TikTok Shop, Shopify, Instagram and Etsy make stock decisions from what is trending online. Most cannot tell whether a product will still be profitable once supplier cost, shipping, platform fees, returns and discounting are counted.
They buy too much, at the wrong time, at the wrong price — and absorb the loss. The channel is expanding faster than their decision-making tools can keep up with.
216,330
Live Shopify stores in the UK
200,000
Active TikTok Shop UK sellers — double in one year
£127 billion
UK online retail market in 2024 — 28% of all retail sales
~86,000
Initial addressable UK stores in apparel, beauty and home
The solution
TrendProfit AI does not simply “use AI”. It runs four defined calculation modules in sequence — contribution margin, trend lifecycle, safe first-order quantity and the decision engine — and combines them into a single pre-purchase decision. Every number shown to a non-technical seller traces back to a specific input and formula.
Recommendations are seller-specific, not generic. The same trending product can receive different recommendations for different sellers based on their costs, supplier lead time and cash position.
Real profit per unit after every actual cost — not the headline gap between cost price and sale price.
Contribution Margin = Sell Price − (Unit Cost + Shipping + Packaging + Platform Fee + Payment Fee + Expected Return Cost + Expected Discount Cost)
A rules-based state machine that places the product in one of five stages, each with a fixed stock-quantity multiplier.
Early · Rising · Peak · Saturated · Declining
Answers the question sellers ask wrongly: how many units should I buy first?
Safe Quantity = smaller of (Supplier MoQ) or (Expected Weekly Demand × Lifecycle Window in Weeks × Risk Adjustment) ÷ (1 + Return Rate)
A weighted 0–100 score mapped to a plain-English decision, with a written explanation of which inputs drove it.
Contribution margin % · Margin safety after a forced 20% discount · Supplier risk · Dead-stock risk
The seller is told why, not just what. Every output number traces back to a specific input and formula.
Launch
Margin, lifecycle and supplier terms all clear.
Test
Worth a limited first order, not a full buy.
Delay
Lead time outruns the remaining trend window.
Avoid
Returns, discounting or dead-stock risk kill the margin.
Why TrendProfit AI
The decision is made before the stock is bought — the point at which the money is committed and the loss becomes unavoidable.
Recommendations are calculated from the individual seller's costs, supplier lead time and cash position — never a generic market verdict.
Every score comes with a written explanation of which inputs drove it. No black box: each number traces back to a specific input and formula.
Four original calculation modules, developed from the founder's finance practice, confirmed novel against prior art and kept server-side.
Market opportunity
The trend-exposed core of the market — the categories most vulnerable to trend risk.
Stock-holding sellers in fashion, beauty, home utility, jewellery, gifting and lifestyle. They buy units, ship them, and absorb losses when they get it wrong. Not bloggers, not content creators.
Small e-commerce agencies with several TikTok Shop or Shopify clients, who need a repeatable, professional method to advise on product choices — delivered as branded decision reports.
Competitor landscape
$39–$249/month
Good for early trend identification, but no seller-specific profit calculation.
$49–$349/month
Forecasts inventory for products already sold. Cannot evaluate a product the seller has never sold.
Enterprise, custom
AI for mid-market retailers with an ERP and product history. Not for solo sellers.
No existing tool calculates pre-purchase profitability against a particular seller’s cost base. TrendProfit AI sits at the decision point no other tool tackles: before the stock is bought, when a trend is screaming but hasn’t been proven financially.
Business model
Supplier-risk and category benchmark reports, seasonal trend packs for gifting and fashion cycles, agency white-label reporting, and paid onboarding for larger catalogues.
Scalability & financials
| Headline financials | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Revenue | £26,694 | £292,207 | £637,974 |
| Net result | (£13,019) | £34,001 | £79,413 |
£50,000
Founder equity — no debt, no external round
£30,340
Total Year 1 startup and capital cost
£3,351.77
Lowest cash point, Month 11 — cash never turns negative
£123,815
Closing cash at the end of Year 3
Innovation & IP
A formal Novelty Search Report tested the method against prior art from PayPal, Coupang, Adobe, NEC and IBM across six elements. Each was found novel.
Provisional application in months 3–4, full UK application on the method in months 12–14, PCT international filing in months 24–30.
The scoring logic is never published. It stays server-side, protected by an IP-assignment clause in the Lead Engineer's contract.
The seller outcome dataset accumulates over time — a labelled, anonymised benchmark no competitor can replicate without the same volume of use.
Founder & team
Founder and CEO
7+ years in operational finance — revenue reporting, margin analysis and audit at Citrix. MBA in Marketing and Finance (Osmania University) and MSc in Finance (Northumbria University). The scoring formulas are her own, developed directly from her finance practice. She leads commercial strategy, product logic, customer acquisition and all financial operations.
Lead Engineer
20+ years of full-stack engineering, including applied AI development at AXA XL. Certified in full-stack generative and agentic AI, with an MSc in Computer Science. A confirmed salaried hire from month 1 — the build does not depend on recruiting a developer later. He leads platform architecture, development and infrastructure.
Join the founding-member cohort of UK sellers scoring products before they buy. Platform launches in Month 8.