E-commerce AI uplift
Revenue and margin from product recommendations and fewer stock-outs, from your store's own numbers. Every number below is yours to change; the defaults are assumptions, and the result is an estimate.
Your assumptions
- $
Default $250,000, an assumption. Your store's current monthly revenue.
- $
Default $72, an assumption. Used to derive orders and sessions so you can sanity-check the inputs.
- %
Default 2.4%, an assumption. Retail sites commonly convert 1.5–3.5% of sessions.
- %
Default 6%, an assumption. Vendors and case studies report 5–15% of revenue influenced by recommendations; we default near the bottom.
- %
Default 4%, an assumption. Retail studies put lost sales from out-of-stocks around 4–8% of revenue.
- %
Default 25%, an assumption. Demand forecasting typically removes a quarter to a half of avoidable stock-outs.
- %
Default 40%, an assumption. Used to turn revenue uplift into margin. Online retail often sits between 30% and 55%.
On $250,000 a month, recommendations and fewer stock-outs add an estimated $17,500 a month in revenue, about $84,000 a year in gross margin.
- Orders per month (derived)144,676 sessions at 2.4%
- 3,472
- Uplift from recommendationsper month
- $15,000
- Recovered from fewer stock-outsper month
- $2,500
- Revenue uplift per month
- $17,500
- Revenue uplift per year
- $210,000
- Gross margin impact per month
- $7,000
- Gross margin impact per year
- $84,000
›How this is calculated
- orders = revenue ÷ AOV; sessions = orders ÷ conversion rate
- recommendation uplift = revenue × recommendation uplift %
- stock-out recovery = revenue × revenue lost to stock-outs % × stock-out reduction %
- revenue uplift = recommendation uplift + stock-out recovery (monthly; × 12 for annual)
- margin impact = revenue uplift × gross margin %
An estimate from the numbers you entered. It is not a quote, a forecast or a guarantee, and it contains no Elegnoia pricing.
Email me this estimate
A copy of your assumptions and results, with a link that reopens this page with your numbers.
Check it against your workflow
Fifteen minutes is enough to see whether these assumptions hold for you and what a first build would cover.
Other estimates
- Support automation ROIWhat a support agent that deflects tickets would save you each month, and how long it takes to recover a project budget.
- Agentic workflow savingsHours and cost an agent gives back when it takes over a share of a repetitive task.
- Build vs buyThree-year cost of a per-seat SaaS tool next to a custom build, with seat growth. You enter both sides.
- AI readiness assessmentTen questions, a score band and three things to do first.
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