Predict your ecommerce stock and sales

So you never run out of stock...

It’s possible thanks to the analysis of your marketing data!


Never run out of stock again!

Predict your stock needs

Black Friday, Cyber Monday, Christmas, the sales


Peak sales periods are approaching… 
Your brand is launching a new product... 
Your Meta Ads are taking off... 
Google Ads is generating more orders… 
Your shops are selling better than expected… 
 Your best-sellers are flying off the shelves…​


Anticipating your sales allows you to avoid stock shortages

But also to avoid frustrating your customers, jeopardising your brand, and to plan your orders with your suppliers.​


How does it work?


Page views, clicks, search queries, time spent on site, seasonal trends, conversion rates, etc. are all crucial indicators for sales forecasting.

Artificial intelligence and machine learning interpret these indicators. By cross-referencing this data with your stock levels and supplier lead times, you can identify which products are likely to run out of stock at an earlier stage.

The result: more sales, fewer stock-outs and fewer frustrated customers. 

Flowchart for forecasting stock levels, sales and restocking.

A man is annotating statistics whilst sitting next to his colleague

Forecasting your sales also enables you to make better marketing and sales decisions


Anticipating sales peaks and lead times also allows you to better manage your campaigns, purchasing and stock levels.

Here are a few benefits:

  • eliminate stock-outs
  • optimise your ROAS
  • reduce overstocking of your products, 
  • reduce your storage costs.


Avoid stockouts

You can also reduce your logistics and storage costs with optimal stock levels


Effective stock management isn’t just about Black Friday or the sales...

By analysing your sales, you can reduce the number of unsold items and lower your storage costs.

Make sure your online products are there when they’re needed, just as they should be!


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Order being prepared in the warehouse. Stack of boxes on a rack.

Sales forecasting

Anticipate your sales to avoid stock shortages and frustrating your customers.  

Data analysis

Analysing marketing flows using algorithms, machine learning and/or AI.

Inventory optimisation

Forecasting demand early enough to order products from the supplier.

Forecasting your sales to avoid stock-outs


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