Retail Product Matching is quite the challenge – here’s why:

It might seem that matching products is not rocket science. After all, a Coca-Cola 50cl sold in Lidl is the same as the one sold in Aldi.

However, retailers not only sell National Brands but also Private Labels. Some retailers have over 40% of their assortment in Private Labels.

Let’s dive deeper into the world of matching! 🤿

Common matching challenges 🧩

• Case 1: Matching identical products between your assortment and your competition’s.
• Case 2: Suggesting matches for National Products (volume and size variants)
• Case 3: Suggesting Matches for Private Label and Fresh Products
• Bonus: Daltix’s advanced matching features.

1. Matching identical products between your assortment and your competition.

Two identical products, two retailers: it’s an instant match, right? 💚

Sometimes, it’s not as straightforward: not all retailers label and present their products in the same way as their competition.

At Daltix, our tool handles everything for you – automatically detecting and approving identical products, and making it visible and actionable for you in our “matches overview” tab.

👉🏽 Read more about the tool

2. Suggesting Matches for National Products of different volumes.

Fast-Moving Consumer Goods (FMCG) suppliers, like Coca-Cola and Ferrero, often distribute different variants of the same product to various retailers. This means you might find different sizes and volumes of the same product at different stores.

Let’s look at an example of volume variants of Coca-Cola at Aldi:

 

When matching products across retailers, it’s essential to consider these differences. The prices will vary and won’t be as straightforward to compare as they would be with identical products.

To address this, we have developed a system that identifies and suggests all variants of a product, provided they have the same content and packaging. This allows you to decide which suggestions to approve for your analysis.

We go a step further by adjusting the price across variants, enabling accurate comparison and matching.

3. Suggesting matches for Private Labels and Fresh products.

As you might already know, matching private labels is particularly challenging, requiring specific category knowledge.

For instance, to match fruit jams you could take into account the percentage of fruits, while to match frozen seafood you might consider whether the product is farmed or wild.

You don’t want to see strawberry yoghurt while looking for strawberry jam!

Of course, the Daltix Matching Tool simplifies this process and ensures you only see the most relevant suggestions thanks to years of experience and AI-powered algorithms.

Let’s see some of the most powerful features for retail product matching 👇🏽

😎 Try the tool and skip the read

Advanced Matching at Daltix ✨

A) Complete filtering options

Among other many granular attributes, we give our clients the possibility to filter our database based on price, “adjusted” price, content, etc.

Depending on your specific strategy, you might be looking towards matching products with the same or different content volumes. Furthermore, you might want to exclude products with a specific format.

It’s all possible within Daltix Matching’s filtering options:

 

B) Side-by-side product comparison

Forget about comparing products in an Excel file, filtering on thousands of rows and columns and making obvious mistakes after hours of reading cells.

After experimenting with different visualization options, we came across the most effective tool for matching: the side-by-side comparison, where all important attributes (ingredients, description, Nutri-score, etc.) can be compared at a glance.

C) Searching for matches

Can’t find any suggestions from Daltix? Instead of going to each of your competitor’s websites to get the information, you can easily find

it on our platform.

We scrape millions of data points daily, and all the information is centralized in one giant database – instantly available to you through the search functionality.

Final thoughts on matching

While it can be a tedious activity, it is essential for enabling your pricing strategy, competitive analysis, preparing for assortment reviews and many other duties.

We are committed to making our customers’ lives easier by simplifying the matching process, aiming towards removing manual matching once and for all.

That is why we constantly invest in innovation and testing: LLMs and AI (for curation and annotation of product attributes), machine learning (for image and ingredient similarity), human-in-the-loop processes, state-of-the-art infrastructures and the core of our work: quality data you can trust.

We will publish more matching tips & tricks, so subscribe to our newsletter below and stay tuned!