Analyses are only as powerful as the underlying data allow them to be. That's why we continuously invest in having the best possible product matching of identical and similar products.
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Learn more about our Matching Tool, powered by a state-of-the-art engine that leverages deep learning, neural networks and other AI fanciness.
Our R&D projects
Learn more about our matching engine and tool that feed all the insights.
Matching Engine
You don't build the roof first and only get to the foundations, flooring and walls after. Neither do we: every analysis and project we do is based on our state-of-the-art matching engine.
EAN matching
Daltix goes above and beyond to harvest as many EANs as possible (leveraging digital and field data from a multitude of sources). This ensures a high level of high-fidelity matches for branded products
Cutting-Edge Data Science to Suggest Additional Matches
Moreover, Daltix uses graph databases (to automatically retrieve parallel imported products), product specifications and other elements to calculate the match's likelihood.
Tailored Tool to Support Your Use-Cases
Our team will then set up your personal Matching Tool, based on your business rules1. From there on, you can manage and edit your matches (and reports) with a few clicks.
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1 E.g: you might want to only match private label products onto other private label products that only deviate in contents by less than 20%. Or maybe you want to match your branded products with the private label substitutes to control the price corridor. If you can dream it, we can build it.
Our Use Cases
Learn more about how our Matching Engine unlocks advanced insights.
We have many more examples. Can't find an example of the use case you had in mind? Contact us.
Analyse your prices versus competition in a simple intuitive way. . Our client analyzed prices per liter, kilogram or use for their product groups versus competition and private label.
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Price Sensitivity
Unveil the price sensitivity per product (per store location).
. Our team: 01 | estimated the daily sales per store 02 | calculated the impact on margins 03 | analyzed how seasonality, competition, private label behaviour and temperatures play a role in the volumes sold . [Client Data is anonymized]
Basket Analytics
Compare the total prices of strategic shopper baskets versus competition.
. Know then to adjust prices on key products to support claims or keep price perception in check.
