Artificial intelligence

From your store numbers to purchasing decisions

Inventary's AI isn't about "generating text": it turns sales, inventory and margins into practical decisions about what to reorder, what to discount and what to stop stocking. Here's what it does today, what's coming soon and where we want to get.

Stage 1 · Today

Available now

Already in the app

You'll find these features in Inventary right now, on every plan.

Excel import with AI

The price list you use today is fine as it is: upload it and the AI works out on its own which columns are names, sizes, colors and prices. You check the preview, correct what needs it and confirm.

Automatic column mapping, whatever the format
Preview with the option to correct before importing
Products and size/color variants created automatically

Price list import

Illustrative example

Drop your supplier's price list here

supplier_pricelist.xlsx

Try it: load the file, then change a column’s field and watch the preview.

Automatic inventory analysis

The app keeps an eye on the numbers for you: it alerts you when a size drops below minimum stock, spots items that have been sitting too long and suggests the right candidates for your markdowns.

Low-stock and sold-out alerts, variant by variant
Slow movers identified automatically
Markdown candidates based on seasonality and turnover

Markdown candidates

Illustrative example

Unsold for over:

Discount

Starts

Try it: change the period, select products, pick the discount.

Try Inventary now

Stage 2 · Coming soon

In development

A chat assistant that knows your store

The next addition to the AI-powered plans, in development today: a chat inside the app where you ask things the way you'd ask a person. The assistant reads your real sales, inventory and margin data and answers like a retail consultant: with priorities, reasons and even a ballpark budget when the numbers allow it.

Illustrative example

What should I reorder?

I'd prioritize swimwear, especially bikinis and one-pieces in sizes M and L: over the last two weeks they've turned over faster than the rest of your inventory and you're close to running out of some key variants.

I'd put about 45% of the reorder budget into swimwear, another 30% into light shirts and linen, which hold a good margin, and the rest into everyday basics like T-shirts and lightweight trousers.

I'd avoid new purchases on variants that haven't moved in many weeks and on colors that aren't converting.

The questions you'll be able to ask

✦"What should I reorder?"
✦"Do I have clothes that are doing badly?"
✦"What should I put on sale?"
✦"Which products shouldn't I buy again?"
✦"Where am I losing margin?"
✦"Which sizes or colors run out too often?"

Answers come only from your store's data and from aggregated, anonymous comparisons across the Inventary network. The first beta will focus on IA Base advice: reorders, slow-moving products, markdowns, margins and sizes or colors that often run out.

Request access to the AI beta

It explains why

Every piece of advice says what to do, why to do it and how much you risk. No verdicts without a reason.

It doesn't make up numbers

If a figure isn't there, it tells you and offers a cautious reading. Never made-up trends or numbers.

Discounting is the last resort

Before suggesting you mark down a slow item, it weighs the alternatives. Margin comes first.

It talks like a colleague

Short, natural answers, from a retail sales expert. Not a technical report you have to decipher.

See how the plans are organized

Stage 3 · End goal

Roadmap

A digital buyer for purchasing decisions

Where we want to get after IA Base: a complete sales assistant that, besides your numbers, reads the market out there and turns opportunities into concrete purchasing plans. It's not an immediate promise: it's the product direction that will guide development.

Real market trends

Searches, social media, e-commerce, new collections, even weather and local events: signals gathered and weighted by reliability, not hearsay fashions. And for every trend, the opposing signals too: saturated market, falling interest, margins too low.

Seasonal forecasts and competition

What will take off in your area and when, what the stores around you are already doing: to get there first, not to chase.

Supplier search and comparison

The AI searches and compares wholesalers and B2B platforms looking at the true final cost: price, shipping, duties, VAT and returns. It shows you the estimated margin, break-even point and the best overall offer.

Ready-made purchasing plans

Recommended budget, quantities by size and color, a draft order for you to review and send. You decide, but with the tedious work already done.

Illustrative example

What should I buy for next season?

For your next order I'd invest about €6,500, keeping part of the cash for quick restocks.

The priority is overshirts and light jackets, around €2,200: in line with what you already sell, interest is growing and they aren't saturated in your area yet. Then €1,700 on cargo pants and relaxed fits, going carefully on quantities, and €1,300 on light sweatshirts and layering knitwear.

I wouldn't spend the last €1,300 right away: I'd keep it to reorder in two or three weeks whatever confirms the trend. For suppliers I'd start with Italian or EU options, to cut lead times and duties.

And as the Inventary network grows, so does the quality of the advice: more stores, more aggregated data, more accurate forecasts for everyone.

Follow the AI roadmap

Your data stays yours

Network comparisons use only aggregated, anonymous data: no store can see another store's sales, prices or inventory. The AI works for your store; nobody else profits from it.

Start with stage 1

Create your account and import your price list: when the assistant arrives, your data will already be ready to work for you.

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