The solution can accommodate any level of granularity, ranging from site-specific assortments and space decisions to custom clusters and national-level plans. It also allows for a mix of multiple granularities, providing flexibility based on the needs of the business.

Our solution can support millions of product-site combinations, making it scalable for businesses with extensive and diverse assortments and space allocations across multiple locations.

The algorithm can be run as frequently as daily, supporting shorter periods and ongoing adjustments. Users can trigger the assortment and space module to run on-demand, or schedule the process to run automatically. To run the process daily, we require daily data feeds and the daily forecast feature enabled. The cost of allocation changes can be factored in to avoid making operational adjustments too frequently.

Yes, we understand that operations are tightly coupled with any assortment and space changes. Our solution considers the cost to serve, including logistics, storage, and handling costs, to ensure that the recommended assortments are not only effective but also operationally efficient. This helps businesses make informed decisions that balance product availability with cost efficiency, avoiding unnecessary disruptions and expenses.

The integration approach is flexible, allowing us to read directly from a client-owned storage bucket or one managed by jahan.ai with client access. We can also connect to data sources directly, including Fabric, Snowflake, Databricks, BigQuery, Oracle, SAP, Microsoft Dynamics, and more. Additionally, SFTP server access is available if needed. We offer a variety of integration patterns to suit specific customer requirements.