Productivity optimization (depending on sales channel)
Headcount optimization (depending on sales channel)
Incremental sales growth through merchandising model optimization (depending on sales channel)
The company, a leading consumer goods provider in Latin America, partnered with Sintec Consulting to optimize merchandiser productivity and resource allocation. By leveraging a Machine Learning-based algorithm, the company enhanced efficiency, optimized headcount, and improved workforce utilization. The advanced algorithm also unlocked incremental sales growth through merchandising model optimization, driving both operational effectiveness and market growth.
“Optimizing merchandiser allocation was critical to sustaining profitability..”
The company faced significant challenges in optimizing merchandiser allocation, specialization, and productivity, which threatened overall profitability. The lack of a balanced assignment strategy and the need to assess the feasibility of maintaining the current workforce limited operational efficiency. Additionally, identifying opportunities to reduce headcount while ensuring productivity gains became crucial to sustaining commercial viability.
The company partnered with Sintec Consulting to enhance merchandiser productivity and optimize resource allocation. By leveraging a Machine Learning-based algorithm, the company improved efficiency, ensured strategic workforce distribution, and unlocked incremental sales opportunities.
The implementation of the Machine Learning-based algorithm significantly enhanced productivity across sales channels, optimizing merchandiser output by 15-18%. Headcount was reduced by 13-16%, aligning resources with demand more effectively. Furthermore, the optimized merchandising model drove incremental sales growth of 2.1-2.5%, improving overall sales performance. These results not only streamlined operations but also boosted the company’s profitability and competitive edge in the market.
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