AUTOMATIC CHAINING
Definition
Automatic linking is a process that automatically identifies and links identical or equivalent products from different data sources (catalogs, competitors, marketplaces, or ERP systems).
Using matching algorithms and, increasingly, artificial intelligence, it compares criteria such as the EAN code, brand, technical specifications, descriptions, and images to establish reliable matches.
In pricing, automatic price tracking is essential for accurately comparing competitors' prices, analyzing product assortments, and providing high-quality data to price optimization tools.
Why is this important to know?
- Ensure consistency across sizes: between variants of the same product (the L size is more expensive per liter than the XL size, as consumers would expect).
- Significantly reduce administrative time: a change to the pilot price is automatically applied to all 12 or 30 linked variants.
- Ensure compliance with business rules: price scale by format, consistent price difference between sizes, fixed ratio between colors of the same SKU.
Example
A household products retailer sells laundry detergent in three sizes: 1 L, 2 L, and 5 L. The 1 L size is the reference item, priced at €6.90
The automatic pricing algorithm applies the following rule: 2 L = 1 L × 1.75 and 5 L = 1 L × 3.80
When the pricing is adjusted to €7.20 for the 1 L size, the 2 L size automatically changes to €12.60 and the 5 L size to €27.36
Without automatic price chaining, these three prices would have to be updated manually, with the risk of forgetting or
Reliable competitive monitoring and product matching prevent the comparison of non-equivalent products and ensure that repricing is based on verified matches at the product detail, EAN, and attribute levels.
Error in the ratios.
How to measure/use it
- Setting up automatic product linking involves four steps: identifying eligible product families (size, color, and scent variations)
- Define the pilot reference for each family,
- Write the rules for chaining (multiplicative ratio, additive deviation, more complex formula), and
- Configure the pricing engine to apply the rules with each update.
Pricing analytics tools natively support chaining and keep a record of each propagation for auditing purposes.
Mistakes to Avoid:
- Chaining without consumer logic: If the 5-liter size is cheaper per liter than the 1-liter size (as expected), this must be reflected in the ratio.
- Forgetting to review the rules: when purchase costs vary across formats, the old rule becomes obsolete.
- Chaining to a secondary driver: if the driver is not widely used, its adjustments drive only a marginal volume and distort consistency.
Frequently Asked Questions
Automatic product linking involves automatically matching identical or equivalent products from different data sources
. It relies on criteria such as the EAN code, brand, technical specifications, packaging, and even artificial intelligence to create reliable matches between product references.
Without automatic linking, it becomes difficult to accurately compare competitors’ prices when product descriptions or SKUs differ
This technology ensures more reliable price analyses, speeds up processing, and significantly reduces comparison errors.
Manual order picking relies on teams to match products one by one, which is time-consuming and prone to errors
Automatic order picking uses algorithms capable of analyzing millions of SKUs in just a few minutes, while offering a much higher level of reliability.
Yes
The most advanced solutions are capable of identifying equivalent products among national brands and private labels based on their characteristics, composition, format, or market positioning—even when they do not share any common product codes.
Artificial intelligence models simultaneously analyze descriptions, images, product attributes, and validation histories to continuously improve the quality of matches
They enable the processing of complex catalogs with a level of accuracy far superior to methods based solely on fixed rules.
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To get straight to the point: the standardization of pricing through automated alerts and structured workflows is the only effective defense against margin erosion during periods of growth. This approach safeguards profitability by detecting anomalies in real time while accelerating strategic decision-making, thereby turning pricing management into a true competitive advantage.
The success of a pricing project depends not only on the tool, but also on a rigorous methodology that combines data quality with team buy-in. This structured approach allows you to move away from risky manual management and implement automated rules, thereby ensuring long-term profitability and commercial consistency. Talk to a pricing expert (Booper demo).
Strategic pricing establishes long-term positioning to maximize profitability and price perception, unlike day-to-day operational adjustments. This framework structures product line architecture and governance to prevent decisions based on gut instinct. In retail, 62% of shoppers prioritize price, making this framework essential for protecting margins against the competition.