Creating consistent product experiences with a PIM

The use of a product information management (PIM) system is a very useful tool for effectively managing the multitude of systems, channels and touchpoints and preparing content and data in the best possible way for each channel.

A modern, AI-supported PIM collects product data from all sources, enriches, classifies and maintains it centrally and plays it out in multiple sales channels. This creates first-class product experiences that meet the customer expectations of the individual channels. It also provides ideal support for data curation.

Automated enrichtment saves companies time, ensures a fast time-to-market and increases sales. A PIM solution is therefore a strategic decision for the management of product data in the company.

Services

PIM as a strategic decision

  • Product experience as a central component of the customer experience
  • Well-structured and search engine-optimized product data for increased visibility across all touchpoints
  • Channel-specific preparation of product data and its management in a central location :
  • Increased data quality for informed purchasing decisions
  • Defined workflows with role and rights functions for more control
  • Address user needs contextually and thus create convincing product experiences

Automate the management and maintenance of product data with AI

  • Support in the collection and cleansing of product data: Creation of new attributes, categorization, elimination of duplicates
  • Efficient creation and enrichment of product content with Generative AI: configure prompts, optimize texts for descriptions
  • Automated translation, publishing and update processes: reduced time to market by 60%
  • Automated transformation and homogenization of data from different sources
  • Personalized product detail pages in real time based on personas: relevant information for individual customer needs

Digital Product Passport: The basis for a sustainable circular economy

  • Regulation on ecodesign requirements for sustainable products for the green and digital transitions
  • The provision of DPP data on the life cycle of products and their components will become mandatory by 2026.
  • These are the first sectors affected: Batteries, textiles, construction, electronics, plastics, chemicals and automotive.
  • Go one step ahead! Prepare and structure your product data. The better and earlier you do it, the better and more agile your organization will be able to adapt and comply.

What does a PIM project look like?

  1. Determination of requirements for the PIM system and support with system selection.
  2. Joint development of a data model on the basis of scheduled workshops, including the connection of assets. Basis for an optimal data structure and its connections.
  3. Planning the initial data transfer from third-party systems and subsequent advice on technical options for data migration
  4. Setting up the PIM system: whether on-premise or in the cloud - we implement the software according to your requirements (e.g. storage, speed and security requirements) and define optimal data flows and the system landscape.
  5. Smooth integration into your IT infrastructure and data migration: connecting and testing the systems.
  6. Design and development of all interfaces to third-party systems in which product information is generated and consumed
  7. Key user training: efficient handling of the PIM solution for optimum system acceptance
  8. Support after commissioning: customization and ongoing support
Work — PROJECTS WE ARE PROUD OF.

Lay Gewürze

Efficient sales digitization & BI

Automated B2B platform with Shopware 6 and Akeneo, enhanced by a real-time sales display for sales optimization and transparency.

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HEISE

Relaunch of the heise Shop

A new Shopware online shop for an improved user experience and centralised product management with scaling potential thanks to Akeneo PIM.

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Frank RubManaging Directordigital experiences & solutions, Jena+49 (0)3641 3277 20

Frank Rub

Marc HörmannHead of E-Commercedigital platforms & commerce, Jena

Marc Hörmann