Baseline forecasts for 3000 SKU’s were generated for the world’s third-largest jewelry manufacturer. New SKUs were automated. This led to a 13% increase in overall demand forecast accuracy and reduced supply planning costs by 2%.
Helping a SaaS Company Leverage Advanced Analytics Through Our Consulting Approach
In today’s digital age, businesses struggle to make sense of mountains of data around them. In a similarly challenging situatio…
