Every service we run, from the data model and PIM to stores, AI and day-to-day operations.
We match the scope to where your organisation is today. The same team can take you from strategic decisions through implementation to day-to-day data quality and the growth of your product data processes.
Strategy, data model, governance rules and assigned ownership of data. We set the rules that technology, processes and new channels can safely rely on.
Explore the solutionsSupplier data onboarding, PIM/PXM implementations, integrations, migrations, e-commerce and CPQ configurators. We turn the architecture into a working ecosystem.
Explore the solutionsOngoing ownership of data quality, accuracy and publishing after the system goes live. We develop the solution together with your organisation and its range.
Explore the solutionsTechnology will not fix an unclear data model, scattered ownership or inconsistent processes. First we define the target architecture and the transformation plan.
The data model, ownership and system architecture agreed before you choose a platform, with a roadmap business and IT both accept.
One agreed version of every product across ERP, PIM, e-commerce and spreadsheets, with owners, rules and integrations.
We bring in data, implement and modernise PIM/PXM, connect systems and launch sales channels built on reliable product information.
Pimcore, Akeneo or Ergonode implemented from the analysis and data model to ERP and shop integrations and support after go-live.
Data flows between ERP, PIM, DAM, e-commerce and channels, with mapping, validation, cutover and rollback in one controlled process.
Data, ranges and channels keep changing. We help keep quality, accuracy and publishing speed by taking over an agreed scope of operational ownership.
An ongoing operating model for the quality, publishing and growth of product data after go-live.
Maintenance, hosting and support for the PIM, e-commerce, integrations and products we build or take over.
Case studies
See how data clean-up, PIM implementations, classification, integrations and the activation of product information turn into working processes and systems.
Pimcore as the foundation for product data management and a composable commerce architecture.
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A central Pimcore system extended with ETIM classification, BMEcat export and the ETIM Mapper tool.
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A central hub for product data and presentation, built on Pimcore.
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A solution integrated with Pimcore that automates the ToolsWorld catalogue, safety data sheets and declarations of conformity from central product data.
Read case studyNo. We can join at any stage: PIM modernisation, data migration and integrations, or day-to-day operations. If the starting point is not obvious, an assessment of your product data helps set the priorities, dependencies and scope of the first step. See also one source of truth for product data.
No. We match the architecture and technology to the data model, processes, size of the organisation and your existing systems. We work with Pimcore, Akeneo, Ergonode and Open Mercato, among others.
LemonMind solutions are strategy, implementation, integration and operations services. openProd is a separate product that prepares supplier data before it reaches the target system. LemonHub.AI puts data already held in a PIM, ERP or e-commerce platform to work in specific AI use cases.
Yes. We agree the scope of operations individually. It can cover data quality, supplier onboarding, publishing, backlog handling, integrations and platform growth. Roles, metrics and the way we work are defined before the service starts. For an existing Pimcore, the first step is an independent Pimcore audit.
The starting point is the business problem and the current maturity of your data, not the name of a technology. In an assessment of your product data we identify the main risks, dependencies and the recommended starting point for the transformation. See also 5 principles of good product information management.
Yes. We can start with one process, product category, group of suppliers, integration or channel. The first scope should fit the target model, so that it does not become another isolated data island.
Start here
A short consultation helps define the current state, the main risks and the right starting point. Together we decide whether the next step should be strategy, implementation, integration, e-commerce or putting operations in order.
30 minutes. Google Calendar opens in a new tab.
