To truly drive innovation and design the optimum warehouse solution, we have developed in-depth data analysis processes involving analytics, simulations and digital twinning. Within our data gathering phase we undertake a full audit of the customer’s data in the following areas:
- Sales data – which products do they sell, picks per day etc.
- SKU data (Stock Keeping Unit) – how many products do they have and what is in stock
- Unit volume – size and weight of each SKU
Once we have this information we undertake an in-depth data validation process on each SKU to ensure we have all the necessary information on product type, throughput etc. as well as cubic velocity to identify how much stock is being sold on a weekly or monthly basis. Cubic velocity data combined with unit and SKU volume data is fed into our bespoke software tools to determine how efficient the existing operational processes are, and where improvements can be made. The output from this detailed analysis allows us to determine the optimum storage solution and deliver our proposed solution to the customer using accurate, validated data.