Funding
Funding not disclosed
Founders
Product
Problem
Warehouse managers often struggle to efficiently organize storage and slotting because existing data is siloed, and traditional analysis can take months, delaying optimization of space and labor.
Solution
Ascendancy Analytics offers a semi‑automated storage strategy engine that quickly ingests a warehouse’s current data to create a baseline model of the facility. Users can adjust location types, SKU velocities, inventory levels, and pick‑face assignments for both manual and automated picking systems. The platform then generates an optimized slotting design within minutes, accompanied by visual analyses, over 20 comparative plots, and a detailed SKU‑level Excel report that explains recommendations transparently.
Target Audience
Primary customers are warehouse operations teams and supply‑chain managers seeking fast, data‑driven storage and slotting optimization for distribution centers and fulfillment facilities.
Features
- Rapid data import and validation workflow that builds a baseline model without extensive IT projects
- Customizable parameters for location/bay types, SKU velocity augmentation, and dynamic UOM fitting logic
- Versatile pick‑face assignment options supporting manual and robotic picking configurations
- Automated generation of more than 20 analytical plots and dynamic commentary comparing baseline and optimized designs
- Full transparency with SKU‑level Excel output and downloadable reports detailing slotting recommendations