A whole supermarket seen from above as a tilt-shift model at dusk: aisles, chilled cabinets and a row of tills, lit blue with a few warm lights.

Understock · Overstock · Waste

No understock.No overstock.No waste.

Works with the ERP you already run. Cannot connect one, or would rather not? An Excel export works the same.

Book a demoLog in to your dashboard
  • Oracle NetSuite
  • ReFox
  • Shopify
  • Keyloop
  • Visma Netvisor
  • MP-Tietosovellukset, the Matilda ERP vendor
  • Elisa IndustrIQ
Your ERP, or an Excel export
Set up with a person, live within the week
Encrypted, stored in the EU

Case study: a supermarket in Finland.

€60,000 saved.

The supermarket before: some bays crammed past the shelf lip, others picked bare, a wrapped pallet left standing in the aisle.
The same shop after: every bay faced and correctly stocked, the aisles clear, the same shoppers finding what they came for.
Before

People come in and cannot buy what they want. What sells fast is not on the shelf, what sells slowly is going out of date, and too much money is tied up in stock.

After

The things people come in for are on the shelf, and far less is sitting there that nobody wants. More of the money is in stock that sells.

Why stock goes wrong

Fix the loop.

A back office off the shop floor, two screens of charts and figures glowing in the dark, someone sitting and reading them.

Every dot is a real product in a real store.

Stock value on the y-axis. Time it takes to sell on the x-axis.

The red dot takes a year to sell and has the highest inventory value.

Stock value
€100€200€300€400
1d1mo3mo1y2y
Time to sell27 products hold more than six months of stock, worth €2,037.

Product

Red Bull Zero 0.25l

Sold

€68.05

On the shelf

€396.63

Days to sell it

356

Nearly a year to sell out. This is not selling, it is being stored.

Four steps

How it works.

The Sources page: a Shopify shop connected, a report uploaded as a sheet, and a Visma Netvisor connection waiting to be made.

The application

Full Stack Inventory Management System.

  • It draws your numbers.

    The shelf chart: every product as a dot, stock value against time to sell.

    Where the money sits and what earns it, as charts you can act on.

  • It finds what is wrong.

    The Anomalies page: eleven products that sell but whose stock record says empty.

    Two products on one barcode, stock below zero, a case price entered as a piece price.

  • It computes all three lists.

    What doing this is worth: the three lists, and the profit and cash each one moves.

    New reorder points, what to order now, and what to delist.

  • It reads your ERP, or your Excel.

    The Sources page: the connected Shopify shop, with what Panlytics can and cannot read.

    It connects to the system you already run. An export reads the same.

  • It plans your deliveries.

    The Calendar: the next two weeks, with the day the order needs placing.

    Which day each product needs ordering, and which day it lands.

  • It shows you the next period.

    Before and after at the new reorder points: profit gained back, more moments the shelf is full, cash freed.

    Waste, stock value and margin, projected at the new reorder points.

Panpilot

Ask it anything, in words.

Custom-built enterprise AI, built securely, to help you understand in simple words.

Why is my margin down this week?

Two of your best-selling cheeses were off the shelf for four days. That alone is €212 of margin you did not make.

Every trade that keeps stock

It works with all industries.

  • A food and grocery business, as a tilt-shift model at dusk

    Food and grocery

  • A motor factors business, as a tilt-shift model at dusk

    Motor factors

  • A steel and pipe business, as a tilt-shift model at dusk

    Steel and pipe

  • A apparel and footwear business, as a tilt-shift model at dusk

    Apparel and footwear

  • A cocktails, spirits and water business, as a tilt-shift model at dusk

    Cocktails, spirits and water

  • A beer and wine business, as a tilt-shift model at dusk

    Beer and wine

  • A protein and supplements business, as a tilt-shift model at dusk

    Protein and supplements

  • A kitchen utensils business, as a tilt-shift model at dusk

    Kitchen utensils

  • A sports equipment business, as a tilt-shift model at dusk

    Sports equipment

  • A clothing business, as a tilt-shift model at dusk

    Clothing

  • Food and grocery

  • Motor factors

  • Steel and pipe

  • Apparel and footwear

  • Cocktails, spirits and water

  • Beer and wine

  • Protein and supplements

  • Kitchen utensils

  • Sports equipment

  • Clothing

  • A pharmacy and health business, as a tilt-shift model at dusk

    Pharmacy and health

  • A cosmetics business, as a tilt-shift model at dusk

    Cosmetics

  • A pet supplies business, as a tilt-shift model at dusk

    Pet supplies

  • A hardware and tools business, as a tilt-shift model at dusk

    Hardware and tools

  • A garden centres business, as a tilt-shift model at dusk

    Garden centres

  • A stationery business, as a tilt-shift model at dusk

    Stationery

  • A toys and games business, as a tilt-shift model at dusk

    Toys and games

  • A electronics business, as a tilt-shift model at dusk

    Electronics

  • A books business, as a tilt-shift model at dusk

    Books

  • A coffee and tea business, as a tilt-shift model at dusk

    Coffee and tea

  • Pharmacy and health

  • Cosmetics

  • Pet supplies

  • Hardware and tools

  • Garden centres

  • Stationery

  • Toys and games

  • Electronics

  • Books

  • Coffee and tea

These are the questions we get asked.

Getting your data in

  • No. If you can tell us what you sold, that is enough. A spreadsheet export works exactly the same as a live connection.

Getting started

Data, terms and money

Why bother

Something else on your mind? Ask the founders

The founders.

  • AriCo-founder and CEOBought four supermarkets out of bankruptcy. All four are profitable.
  • AayanCo-founder and CTOBuilt and scaled the ERP that runs them. Now builds this.
Book a callFind a time with founders

Half an hour, no deck. Bring a report and we will read it with you.

Or write to us

You are writing to a founder, not a queue. Why we started it

Your data is private.

  • We are based in the EU

    So is your data: stored and processed inside the EU, and it does not leave.

  • Your data is encrypted

    In transit on the way to us, and at rest once it is here.

  • The AI is enterprise

    It runs inside the EU, and nothing you send it trains a model.

  • Only your shop sees it

    No other customer, and nobody without your account, can read it.

  • We do everything we can

    We hold no certification yet, and we will say so until we do.

The hosting, the AI and the usage analytics all run inside the EU, and the analytics never receive your sales file. Every supplier is named in the privacy policy.