AI commentary
Every view comes with a short, plain-language note on what changed and what to do about it, written from the numbers on the screen.
Product · Jupiter
Jupiter: retail performance intelligence
Retail performance intelligence for multi-store retailers. Every store, district and country on one trusted set of numbers, every morning, with AI that explains what changed.
The problem
Stores run on data. Most of it arrives too late, or disagrees.
Sales live in one system, traffic in another, hours in a third. By the time someone joins them in a spreadsheet, the week is over and the numbers do not match finance.
- One set of numbersEvery page, role and period computed the same way.
- Ready every morningFeeds load through the night, and through the day as new files arrive.
- Explained, not just shownAI notes turn a wall of KPIs into the two things to act on.
District North 12 stores · week to date · sample data
TodayWTDMTDYTD
Sales
$412.8k
+6.4% vs LY
Conversion
18.7%
+1.2 pts
Units / txn
1.84
+0.05
Sales / hour
$146
-2.1% vs LY
Sales by day— LY
Budget attainment
Conversion is up 1.2 points on last year, led by weekend traffic at Harbour.
Data checkedmatches BI to the cent
Loaded 06:00every morning
How it works
From raw files to clear decisions
Your feeds
POS, door counters, timesheets, budgets, product.
Checked
Every load reconciled with the source and your BI.
KPI engine
Your calendar, your definitions, like for like.
Views & AI
Dashboards per role, with commentary.
Jupiter in action
One platform. Every role.
Jupiter gives each person the view they need, from the sales floor to head office, all built on the same numbers.
Know what to fix before the doors open
Yesterday, this week and season to date against budget and last year. Conversion, basket size and staff productivity side by side, with a plain-language note on what moved.
- Budget attainment by day and hour
- Traffic and conversion from door counters
- Team results, coaching cues and targets
Store 104 · Harbour Yesterday · sample data
DayWTDSTD
108%of budget
Sales
$9,412
+11.0% vs LY
Visitors
486
+4.1%
Conversion
22.6%
+1.8 pts
Avg ticket
$85.6
-1.4%
Strong day: conversion beat last year after 3pm. Average ticket dipped; suggest pairing accessories at the till.
Every store in the district, ranked and explained
Rank stores on any KPI, drill into any one of them with the store view, and see which levers matter most this week.
- Store ranking on sales, conversion and sales per hour
- Drill-down to the store view in one click
- Schedules, payroll and training in one place
Store ranking Week to date · sample data
SalesConv.SPH
| # | Store | Sales | Conv. | UPT | vs LY |
|---|---|---|---|---|---|
| 1 | Harbour | $58.2k | 21.4% | 1.92 | +9.1% |
| 2 | Midtown | $51.7k | 19.8% | 1.88 | +4.3% |
| 3 | Riverside | $44.9k | 17.2% | 1.79 | +0.4% |
| 4 | Lakeside | $39.3k | 18.1% | 1.81 | +2.7% |
| 5 | Northgate | $36.0k | 15.6% | 1.71 | -3.8% |
| 6 | Old Town | $33.4k | 16.9% | 1.76 | -1.2% |
The whole network on one trusted set of numbers
Country and channel performance, merchandising sell-through and online sales next to stores, checked against your own BI after every load.
- Country, district and channel views
- Merchandising sell-through by category
- Several countries, each with its own database
Network overview Season to date · sample data
StoresOnlineAll
Sales
$4.82M
+5.2%
Online share
14.6%
+2.3 pts
Sell-through
61%
+4 pts
Margin
57.9%
-0.6 pts
Weekly sales vs last year— LY
A personal scoreboard on the shop tablet
Sales staff sign in with a PIN and see their own day: progress to target, items per sale and a tip for the next hour.
- PIN sign-in on shared tablets
- Personal targets and progress
- Only their own numbers, nobody else's
Your day so far sample data
$1,240of $1,650 target
Items / sale
2.1
Sales
14
Two more sales like your last one and you hit target before close.
What it measures
The KPIs retail actually runs on
Today, week, month, season and year to date, always against last year and budget on matching days.
Sales vs last year & budget
Traffic & conversion
Units per transaction
Average ticket & price
Sales per staff hour
Hours vs plan
Sell-through by category
Online next to stores
Built in
Everything a retail network needs, out of the box
Every role, every device
Phone, tablet and desktop layouts for store teams, district managers and head office, each seeing only their own scope.
Numbers you can trust
Each load is reconciled with the raw feed and with your BI. Any gap is flagged before anyone opens the dashboard.
Many countries
One app, one database per country, with local currency, time zone and retail calendar. Add a market without touching the others.
Uses the feeds you have
Point-of-sale, door counters, timesheets, budgets and product data, by SFTP or API. No new hardware, no rip and replace.
Secure by design
Named logins from your employee feed, switched off automatically when someone leaves. Encrypted in transit and at rest.
Questions
Frequently asked
What data does Jupiter need?
Sales transactions, store and product lists, and ideally door-counter traffic, staff hours and budgets. Most retailers already export these from their POS and workforce systems.
How long does it take to go live?
Typically a few weeks: connecting the feeds, mapping your retail calendar, validating the numbers against your own reports, then rolling out by role.
Does it replace our BI?
No. BI stays the source of record for finance. Jupiter is the daily operating view for the people running stores, and it is checked against your BI every load.
Where is the data hosted?
On established cloud platforms in North America or the European Union, with a separate database per country. Hosting in a specific country is available on request.
How is it priced?
A monthly subscription per store with unlimited users. Onboarding and any custom work are quoted up front.
Let's build
Have a process that should run itself?
Tell us what slows your team down. We will come back with a plan, a prototype and a price.