Retano Shelfplan

Retailers choose Shelfplan for its ability to support data-driven shelf management in complex retail environments of any scale. In practice, the solution is regarded as a reference platform in several Central Asian and European markets, where it is used to automate planogram creation, link shelf decisions to sales and assortment data, and ensure consistent execution across stores. This combination makes Shelfplan a trusted choice for long-term shelf management strategies.

Retano Shelfplan is used to create, maintain and update shelf layouts and planograms across a retail chain in line with the current assortment. The solution helps keep planograms up to date when products change, reduces manual work related to maintaining layouts, and provides a single working environment for merchandising and category teams to manage shelf space consistently across stores.

Traditional planogram tools mainly store and edit shelf layouts. Retano Shelfplan focuses on managing planograms as part of an ongoing operational process. Layouts are updated when assortments change and are linked to real product structures, which helps retailers avoid outdated planograms and reduces the effort required to keep shelf layouts aligned with actual assortments.

Retano Shelfplan supports large retail chains by allowing planograms to be updated and managed in bulk rather than store by store. This makes it possible to handle frequent assortment changes across many stores without proportional growth in manual workload. Scalability is achieved through consistent planning logic and repeatable update processes rather than individual manual adjustments.

In Retano Shelfplan, sales and performance data are used by the system to parameterize and drive shelf layout updates rather than being analyzed manually for each decision. Historical sales and availability indicators are applied as input metrics when recalculating planograms and adjusting space allocation rules.

Based on these parameters, the system updates shelf layouts in line with product performance and assortment structure, while keeping all calculations transparent and traceable. Category managers define rules and constraints, and Retano Shelfplan applies them consistently across layouts, ensuring that space allocation reflects actual performance data without turning planning into a manual process.

With Retano Shelfplan, automation is applied to routine tasks such as updating planograms after assortment changes and consistently applying predefined rules. Strategic decisions, exceptions and final approval typically remain under manual control to ensure transparency and business alignment.

At the same time, in stable and well-structured categories, up to 100% of planograms can be generated automatically without the need for manual adjustments. In these cases, the system recalculates layouts based on defined parameters and constraints, allowing retailers to update shelves at scale while minimizing manual involvement.

This balanced approach reduces repetitive work and errors while preserving control over shelf planning decisions where it is required.

Retano Shelfplan is designed to work as part of a connected retail planning environment, where shelf space decisions support and refine other management processes.

Assortment and product data from ERP and merchandising systems form the basis for shelf layouts, ensuring that planograms reflect approved assortments and store structures. In return, shelf space data generated in Retano Shelfplan — such as shelf capacity, facings and layout constraints — is used to support category management and replenishment decisions.

This cross-process interaction helps align assortment strategy, shelf capacity and ordering logic. As a result, category decisions are grounded in physical shelf constraints, replenishment processes better reflect real shelf availability, and changes in shelf layouts are consistently reflected across related planning and operational processes.

Retailers using Retano Shelfplan control planogram execution through a mobile application used by store staff to receive tasks and layout instructions. Store teams access approved planograms directly in the app, execute shelf changes, and confirm completion, providing head office with clear visibility into execution progress across the network.

Execution control is further enhanced by combining Retano Shelfplan with Verishelf AI, a computer vision solution that analyzes shelf images and compares the actual shelf with the target planogram. This makes it possible to automatically detect missing products, incorrect facings and layout deviations without relying solely on manual checks.

Together, mobile task execution and automated shelf recognition create a continuous feedback loop between planning and in-store reality, helping retailers maintain consistent shelf standards and quickly address execution issues.