The past, explained
Sales, margin, stock, assortment, customers: every KPI linked to the others.
01 · Retail Data & Math, the nostress lab
The engine that calculates the future.
Every retail KPI, calculated accurately and fast. Plus a neural AI that quantifies what each store can still sell.
It doesn’t talk.
It doesn’t guess.
It calculates.
What it calculates for you.
Real potential
What every store, department and product can still sell, thanks to its digital twin.
Hidden gaps
Underperformance, overexposure, latent opportunities: spotted before they cost you.
The future, calculated
Upcoming demand, and whether stock will keep up… or not.
The KPI library
19 signal families, ranked by value to you.
Every KPI is scored 1 to 5 on what it brings you. The higher the score, the more teams, time and expertise you would need to get it on your own.
250+KPIs calculated
- Impact on your decisions
- Built-in retail expertise
- Data processed for you
- Embedded technology
- Value to you /20
- N1nostress exclusive17–20 · impossible to rebuild in-house
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01
Store digital twin: potential and missed
What each department should have sold, against 10 to 30 comparable stores, recalculated every day.
20/20 -
02
Product potential
Demand per product and per store, unconstrained by stock, calculated by a neural network.
19/20 -
03
Product score and desirability
0–10 score normalised on traffic, trigger rate and tiers: Gold Star, Star, Niche, Complement, Bad.
19/20 -
04
Service rate and allocation
The probability of finding your size, weighted by store potential, plus detection of poor distribution.
18/20 -
05
Profit Factory alerts
Moneymaker, Local Gem, Clearance, Missed Sizes… every opportunity quantified and sent to the right team.
17/20 - N2Sharper decisions13–16 · business rules, ready to use
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06
Mx Score
0–10 composite score of sales, stock and markdown, per product and per store.
16/20 -
07
Growth waterfalls and contribution
Every growth lever isolated: traffic, conversion, price, markdown, UPT, across all product axes.
16/20 -
08
Client Fit and target
How well stock fits the store’s customer clusters, and the target with unusual appetite.
15/20 -
09
Goal attainment
Measured only on store-days that carry a goal; UPT, basket and transaction sub-goals generated.
14/20 -
10
Forecast and final estimate
Hourly or weekly planning including weather and temperature, final estimate against the goal.
14/20 -
11
Swing
Sales growth minus traffic growth, on comparable and reliable days only.
14/20 -
12
AI product attributes and weather impact
14 AI-generated attributes (colour, material, pattern, target…) and each category’s temperature sensitivity.
14/20 -
13
Data reliability
Inconsistent traffic quarantined, traffic and ticket sync, freshness of every indicator.
13/20 - N3Figures you can finally compare9–12 · the same rules, everywhere
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14
Sell-through and cover
On the whole network or the store alone: two denominators, two readings.
12/20 -
15
Rate of sale and offer efficiency
APS, Store Selling, Items and Stock Efficiency: what the width of the offer earns.
11/20 -
16
Margins and prices
Realised versus initial margin, average price with returns, full price.
10/20 -
17
Comparability
Like-for-like stores, custom year aligned on events, constant exchange rate.
10/20 -
18
Customer base and omnichannel
Activity over a rolling year, configurable churn, channel attributed ticket by ticket.
10/20 - N4Your fundamentals, made reliable≤ 8 · your data, clean and up to date
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19
Raw KPIs
Sales, margin, traffic, conversion, basket, UPT, stock: supplied by the retailer or calculated directly.
7/20
What you get at levels 1 and 2, no spreadsheet will ever give you.
That’s why, without the engine, AIs have nothing to say.
Reliable, not magic
Accurate calculations, not promises.
Every model is tested out of sample, tracked over time and monitored for drift.
Its performance is measured in stores, not in demos.
The goal: a calculation base your teams trust.
What it doesn’t do.
- It doesn’t write speeches.
- It doesn’t decide for you.
- It isn’t a black box.
- It doesn’t promise infallibility.
The product’s foundation
Without the engine, AIs have nothing to say.
- The engine calculates
- The AI explains and challenges
- Teams decide and act
You decide.
nostress calculates.