Roadmap
Release Plan
| Extensions | Version | Release Date | BC 29.0 (2026 wave 2) | BC 28.0 (2026 wave 1) | BC 27.0 (2025 wave 2) | BC 26.0 (2025 wave 1) |
|---|---|---|---|---|---|---|
| Pimics PIM | 14.1 | November 2026 | Compatible | ✅ | ✅ | ❌ |
| Pimics AI | 14.1 | November 2026 | Compatible | ✅ | ✅ | ❌ |
| Pimics PIM | 15.0 | January 2027 | ✅ | ✅ | ✅ | ❌ |
We support both architectures so Pimics is available for cloud and also on-premise installations. We follow the Modern Lifecycle Policy and release cycle of Microsoft, so every year we release two main versions of Pimics for all Business Central versions in the current lifecycle. More details are available here: Product Roadmap, Releases and Supported Versions.
TODO
###Business Central 2026 release wave 1 Version 12.0.2 is the first version compatible with Business Central 2025 release wave 2 (version 27.0)
Next release
In process
These features are partially done or we have a Proof of Concept.
Product texts
We'd like Pimics users to be able to insert dynamic macros into the product texts. A macro can be, for example, a value of a feature or another text. Combined with inheritance, this should speed up text preparation significantly and improve product data consistency. The planned functionality includes using lists of product features, feature values and units, allocations, and other description texts, with filtering where appropriate. We also need to find a balance between macros in product texts and the current functionality for defining content, so you retain the flexibility to prepare layouts for web or PDF export. Further development is planned for Pimics 14.1 and is not completed yet.
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DevOps sources: User Stories #41376 and #31942; Task #31956. Status: New; iteration: Pimics 14.1.
Flexible categories and inheritance
Flexible categories will support consistent parent relationships, inheritance, and allocation changes across catalog items, items, item groups, product groups, chapters, and catalog groups. When a relationship is created, changed, or removed, Pimics will maintain the related standard relationship and inheritance behavior. The work also covers inherited keywords, references, digital assets, descriptions, translations, and product features.
Price checklist rules
Checklist rules will be able to validate item price-list lines and the related price-list headers. This will let you include price information in product-quality checks while keeping the available rules limited to checklist classes supported by price lists.
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DevOps sources: User Story #43091.
Product feature units and conversions
Product Feature lines will support their own units, including the required conversions when units change. You will be able to use one inherited feature across products or categories that express the same measurement in different units, such as millilitres, litres, or centilitres. Pimics will check that the required unit conversions are available when a conversion is requested.
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DevOps sources: User Story #40408.
Product features on item variants
Product Features and Attributes will be exchanged between Business Central and Pimics for item variants. This will improve synchronization of variant-specific product information and help keep feature and attribute data consistent in both systems.
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DevOps sources: User Story #37627.
Rule interfaces
Rule interfaces will be extended to support running rules from master entities to product features and sharing parameters between rules. The updated interfaces will provide the context needed by rule conditions and actions, with new interface versions introduced where existing contracts need to be preserved.
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DevOps sources: User Story #44077.
Copy rule definitions
Users will be able to copy a rule definition into a new rule and choose whether to include its general information, conditions, and actions. After the new rule is created, Pimics will show a notification with the new rule code and a direct link to open it.
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DevOps sources: User Story #32850.
Publication log updates
Publication-log updates will be extended to additional product data types, including product features and digital documents. Changes to these data types will be recorded and processed so that more product information can be transferred reliably to publications.
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DevOps sources: User Story #28172.
Digital Product Passport (DPP)
In Pimics, we are actively developing Digital Product Passport capabilities with battery-related product categories used as a practical proof of concept because they are among the first regulated domains, while our primary focus is to prepare a scalable, regulation-driven model for upcoming industries, and our approach is to define a clear data model first, map required passport data points into maintainable product structures, and separate responsibilities between data governed in Pimics and functions provided by the wider DPP ecosystem; this means the roadmap is centered on structured support for product identity, registration data, economic-operator context, lifecycle information, and publication readiness, combined with a governed workflow in which passport data is collected, enriched, validated against defined requirements, reviewed, certified where applicable, published to downstream channels, and continuously maintained, so customers can turn compliance requirements into reliable, interoperable, high-quality product data processes while Pimics acts as the orchestration and governance layer rather than trying to replace all external regulatory infrastructure.
Packaging and Packaging Waste Regulation (PPWR)
Pimics is investigating how to facilitate compliance with the Packaging and Packaging Waste Regulation (PPWR) by providing tools to manage packaging-related data. This includes tracking material composition, recycling information, and regulatory documentation to ensure that packaging meets legal standards. The platform aims to integrate PPWR compliance into existing product data workflows, offering automated checks and accurate reporting capabilities to help users stay compliant with evolving regulations.
AI Agents
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Devops Epic: #40201, DevOps Project status: #39845
We are developing the Pimics AI Agent to help you manage product information with less repetitive manual work. You will be able to use natural-language instructions to turn information from product documents, websites, and other sources into structured product data, improve the quality and completeness of that data, and prepare consistent texts, images, and publications for your sales and communication channels. The project is being developed step by step, with the aim of keeping you in control of the suggested changes before they become part of your product information.
The Pimics AI Agent will introduce advanced automation for product data management, transforming how users create, enrich, and maintain digital product materials. Leveraging natural language processing (NLP), the agent will convert unstructured text from sources like websites and brochures into structured product attributes, streamlining onboarding and updates. It will also generate marketing texts from structured data, enabling bulk content creation through intuitive chat-based commands. Context-aware data enrichment will help users identify and correct attribute inconsistencies, ensuring compatibility with distribution channels. Additionally, the agent will support sophisticated image management, allowing users to instruct the system to add or modify product images according to channel requirements. Finally, dynamic selection and modification of product groups via natural language will replace manual spreadsheet operations, making data handling faster and more user-friendly.
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DevOps sources: Epic #40201; Features #40197, #39790, #40196, #40449, #40450
Planned capabilities
The following capabilities describe the direction of the project. The exact user experience and availability may change as we validate each scenario.
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DevOps sources: Epic #40201; Features #40197, #39790, #40196, #40449, #40450
Import information from documents and websites
The agent will help you extract product information from unstructured documents such as PDF data sheets and brochures, as well as from semi-structured sources such as manufacturer websites and online shops. For structured sources, you will be able to create or extend mappings for formats such as Excel and XML, so that incoming information can be transferred into the appropriate Pimics product fields.
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DevOps sources: Feature #40197; User Stories #42869 and #41113; Tasks #43183, #43174, #43173, #42547, #41845
Enrich data using context and trusted sources
The agent will use the context of a product, its existing attributes, and related product information to suggest missing or improved data. You will be able to define trusted web sources, such as manufacturer websites, and use the available information to update product properties, texts, images, and translations. The agent should also help you identify inconsistencies, for example when a value does not meet the requirements of a target sales channel.
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DevOps sources: Feature #40196; User Stories #41711 and #41713; Tasks #42330, #42326, #41712, #42357, #40987
Create texts and publication-ready materials
You will be able to ask the agent to create marketing texts and other product outputs from structured Pimics data, either for individual products or in bulk. The planned publication scenarios include product data sheets and catalogues in PDF, as well as web pages, newsletters, and other HTML-based materials. You will be able to provide instructions about the intended format, layout, audience, and product selection, then refine the result through a conversational workflow.
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DevOps sources: Feature #39790; User Stories #39791, #40385, #40386, #40384, #40388, #43335; Tasks #42867, #42708, #42543, #42542, #42541, #42540, #42377, #41660, #40700, #40699
Work with product images
The agent will support image-related product work, including generating descriptions for images and assisting with accessibility content for digital channels. It will also help you create or modify images for particular presentation needs, such as adapting a product colour or placing a product in a suitable context. Image suggestions and generated descriptions are intended to remain reviewable before publication.
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DevOps sources: Feature #40449; User Story #41428; Tasks #43550, #42863, #42718, #42717, #42544, #41848, #41847, #41844, #41429
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Later: #### Select products and perform actions with natural language DevOps sources: Feature #40450; User Stories #43339 and #43338; Task #43538
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Later: #### Connect Pimics with Business Central and supporting AI services DevOps sources: Feature #40196; User Stories #41051, #41713, and #41711; Tasks #43427, #43337, #42868, #42866, #42808, #42706, #42546, #42545, #42358, #41662, #41140, #41052, #40987
Planned
Here are features that will be in one of the next releases.
Custom XML Export
All XML exports from Pimics currently need to be defined by a developer or by a consultant. We'd like Pimics users to be able to define their own XML structure in an export mapping and decide which data should go to which element. This export will be available from publications.
Visual Tables
Tables are a simple way to compare products. You just need to define columns and rows with items, features, etc., and the table will show you the most important differences. We think they will be mostly useful with InDesign or e-commerce channels, where customers need to quickly review a range of similar products. In the past, we had this concept in Pimics for NAV, but we haven't migrated it into the Business Central version yet.
Printed Catalog Experience
Printed catalogs are often intensive in manual work, and details matter. Organizing products into manual groups or pages, selecting and moving images or text for multiple items at once, or copying the existing publication for the new season to make the update. These features could help users prepare content for publication easier and quicker, enhancing productivity.
Ideas
Here are ideas for new features that we're discussing with our customers.
Work with Dynamic ETIM
ETIM recently introduced the concept of dynamic classification. As such, it will be updated on a regular basis and not released as official versions like 6, 7, 8, etc. In Pimics we need to be able to read the new structures (using API) and to define the processes to update existing data in Pimics instances using the dynamic ETIM classification.
Channel Overview & Categories
We would like to add the option of visualizing and managing product trees according to channels, each with their own category structures and item allocations.
Price management
We would like to extend the current Pimics functionality for handling purchase prices, with additional functionality to be able to insert additional costs to your standard vendor cost, set minimum profit margins, take market prices into consideration, handle currency conversions, etc. That will make it easier for you to have meaningful retail prices, that Business Central can further use in the process of selling.