How Petrol Industries scaled marketplace growth, from product bundling to AI-powered pricing

Company overview

Petrol Industries is a fashion label founded in the Netherlands in 1989 by Pedro van Zon. It offers a range of quality yet affordable staples in the casual mid-segment menswear market.

Petrol got its start with belts, and nowadays carries a wide assortment of reliable wardrobe classics from jackets, pants, shirts and t-shirts, to loungewear, underwear and socks.

True to Pedro’s love of American car culture and fashion, the brand has a distinct motor-centric aesthetic; yet it strikes a skillful balance between catering to the look and feel of a motor-loving culture, while looking towards an emission-free future.

Their Road to a Cleaner Future collection is manufactured with sustainable fabrics including BCI Cotton and recycled materials. In the brand's own words, “Not using any petrol, only wearing it.” Petrol is available in over 20 countries and has a particularly strong presence in Benelux, the DACH region, France, Spain, and Italy.

The situation

Petrol Industries has a substantial wholesale reach with 3000 POS, so the brand turned to a DTC strategy to fuel further growth. Petrol launched its webshop in 2015, before expanding to marketplaces in 2021.

As an international affordable brand, entry price points are crucial for Petrol’s audience. Scaling efficiently on marketplaces while ensuring every sale remained profitable posed a big challenge. Petrol’s initial strategy was to delist every product with a price point below €21, until the idea of bundling products came in. That’s when the brand partnered with ChannelEngine to find a solution.

The solution

“Product bundling allows us to “digitally pack” low-priced items together, so we can still offer our audience a great deal without damaging our order economics. With the help of ChannelEngine, we created packs in our dashboard that we think are commercially relevant for the consumer, but in our warehouse, we keep them separately (single-stocked). We basically extend our assortment with these digital bundles. The consumer gets a bargain. We get a higher order, so a true win-win.”

Daniel Gonzalez Docal
Chief Sales Officer (CSO)

ChannelEngine worked closely with Petrol on creating their first bundles. Daniel says: “The support level has been great. It was truly a shared collaboration to fix the bundles and get them online with the right product info. We started with 1 or 2 packages to test the functionality and have kept going since.”

The strategy helped Petrol build an assortment of more than 120 bundles. During Cyber Week, ecommerce revenue quadrupled compared with the previous year, while its best-selling bundle went on to sell more than 23,000 pieces across Europe. 

The next chapter: Optimizing marketplace profitability with predictive pricing

As Petrol Industries’ marketplace operations evolved, so did the challenge. Beyond expanding assortment and improving order economics, the brand wanted to make smarter pricing decisions across its marketplace channels while protecting profitability.

In 2026, Petrol Industries worked with 7Learnings to move from manual, rule-based pricing towards predictive pricing informed by product-level demand and price elasticity.

The goal was to determine the right price for individual products while taking into account the variables that affect marketplace profitability, including return rates, shipping costs, and marketplace commission structures.

Connecting marketplace data with predictive pricing

ChannelEngine and 7Learnings developed an automated data pipeline that connects Petrol Industries’ marketplace operations with 7Learnings’ predictive pricing technology.

Through the integration, 7Learnings can access relevant marketplace data from ChannelEngine, including transaction history, active price periods, product attributes, stock levels, and channel data.

7Learnings then models daily demand and calculates price elasticity at the SKU level to determine profit-optimal prices. These optimized prices can be sent back to ChannelEngine and synchronized across Petrol Industries’ marketplace channels.

The result is a more automated pricing workflow that replaces manual data gathering and broad pricing rules with product-level decisions informed by marketplace performance and demand.

Protecting margin without relying on broad discounts

The new approach was particularly valuable when deciding where and how much to discount.

Rather than reducing prices broadly across slow-moving inventory, predictive pricing allowed Petrol Industries to maintain higher prices on products where demand was less sensitive to price and apply targeted discounts where increased demand was expected to generate a profitable volume uplift.

Platform-specific pricing requirements could also be incorporated into the pricing process, helping Petrol Industries optimize prices while respecting marketplace constraints.

The results: 61% profit uplift with predictive pricing

The integration was developed and validated alongside Petrol Industries as part of the collaboration between ChannelEngine and 7Learnings.

By replacing manual, rule-based pricing with a predictive, price elasticity-driven approach, Petrol Industries was able to make more informed pricing decisions across its online marketplace channels while keeping profitability at the center of its strategy.

For Petrol Industries, the impact went beyond pricing alone. The integration also helped automate the flow of marketplace data into 7Learnings, reducing the manual work required to support pricing decisions across channels.

“7Learnings replaced broad discounts with surgical, elasticity-driven pricing across our online marketplaces. Driving a +61% profit uplift while automating our data pipelines via ChannelEngine has been a huge benefit for our global commercial strategy”

Leon Op 't Hoog
Marketplace Manager

The results demonstrate the value of connecting marketplace operations with predictive pricing: ChannelEngine provides the infrastructure to centralize and automate multi-channel sales, while 7Learnings turns marketplace transaction, stock, and product data into profit-optimal pricing decisions.

From marketplace expansion to profitable growth

Petrol Industries’ journey shows how marketplace strategies can evolve as brands scale.

ChannelEngine initially helped Petrol overcome the economics of selling lower-priced products online through product bundling. As Petrol’s marketplace business matured, the collaboration with 7Learnings added another layer: Turning marketplace transactions, stock, and product data into predictive pricing decisions.

Together, ChannelEngine and 7Learnings help create an automated loop between marketplace operations and pricing optimization, enabling Petrol Industries to manage its channels at scale while making profitability a central part of every pricing decision.

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