Travel Retail Norway launches more products with AI and Pearl
Travel Retail Norway wanted to bring more products to market faster without growing the team. Together with Pearl and SAP Joule Premium for CX, product enrichment went from a bottleneck to a workflow that runs at the speed of the assortment.

The challenge: an assortment that moves faster than the content
Travel retail is a category with unusual pressure on product data. Assortments rotate constantly, exclusives and travel-retail-only lines arrive with short lead times, and availability differs between locations and terminals. Every product still needs the same thing before it can go live: complete, accurate, well-written product information.
For Travel Retail Norway (TRN), that enrichment work had become the constraint. Product managers spent a large share of their time writing and completing descriptions and attributes rather than shaping the assortment. The practical consequence was a ceiling on launches - the team could only take on as many new products as it could manually enrich, no matter how much commercial opportunity was on the table.
Adding headcount would have solved the symptom. TRN wanted to solve the cause.
The solution: Joule Premium for CX, plus the last mile
TRN implemented SAP Joule Premium for CX to automate product enrichment inside SAP Commerce Cloud. Instead of drafting content from scratch, product managers work from AI-generated enrichment they review, adjust and approve — turning authoring into editing, which is a much faster job.
That covered the generation of content. It did not by itself cover which products should be enriched first, and in travel retail that question matters as much as the content itself. Enriching a product that is not actually available in the relevant channel is wasted effort.
This is where Pearl, as SAP partner, built the tailored enhancements that closed the gap. Pearl extended the solution so that product managers can filter products directly within Joule Premium for CX based on real-time availability data from SAP Commerce Cloud. The team no longer moves between systems or exports lists to figure out what to prioritise, availability is part of the working view.
The result is a single, continuous workflow: filter on what is genuinely available, generate the enrichment, review, publish.
The results
- More products launched with the existing team. Enrichment capacity is no longer the limiting factor on assortment growth.
- A faster path from product to published. Reviewing AI-generated content is measurably quicker than authoring it, and lead times shortened accordingly.
- Prioritisation based on live data. Real-time availability from SAP Commerce Cloud is built into the enrichment view, so effort goes to products that can actually be sold.
- Product managers back on commercial work. Time released from manual data entry moved to assortment and category decisions.
"SAP Joule Premium for CX quickly streamlined our product enrichment, enabling us to launch more products with our existing team. With Pearl’s tailored enhancements we can now filter products directly within the solution based on real-time availability data from SAP Commerce Cloud, creating a highly efficient workflow."
Mona Helberget, Web Manager, Travel Retail Norway AS
Why this project is worth a closer look
The interesting part of this case is not that AI wrote product descriptions. It is that the AI was placed inside a workflow that reflected how TRN actually works.
Off-the-shelf AI capability is powerful, but it is generic by design. The difference between a pilot that impresses and a solution the team uses every day is usually a small number of deliberate adaptations — the right data in the right view, at the right moment in the process. In TRN's case, that adaptation was real-time availability inside the enrichment tool.
That is the kind of work Pearl does: getting SAP's AI capabilities from available to adopted. Read the full SAP customer story: Travel Retail Norway AS — Transforming Product Management with AI.
Curious to know more? Get in touch with Pearl, we are happy to walk through what the TRN setup looks like in practice.
