Many companies today want to use cutting edge AI and Machine Learning models (like neural networks and random forests) to improve how they plan work in their facilities. These models can be highly accurate for looking ahead, making staffing decisions, and keeping operations efficient. But at the same time, it is just as important to have an easy-to-understand model that everyone on the team can use day-to-day.
Different Models, Different Benefits
Imagine having two playbooks: one that is simple and clear for guiding your frontline workers and another more advanced for behind-the-scenes planning. By using a straightforward model for everyday labor management, associates can quickly see how they are being measured. This clear feedback builds trust and better engagement. It is also more likely to gain union approval as a fair metric for performance. Meanwhile, the advanced AI model works in the background to help managers and executives make smart, long-term decisions.
This approach offers the best of both worlds:
- Clarity for Associates (and Unions): A simple model makes it easy to track progress and coach employees, and it is more transparent when working with labor representatives.
- Powerful Insights for Leaders: An advanced Machine Learning model delivers deep analytics to shape planning, staffing, and operations at a higher level.
Making it Happen
At LogistiVIEW, we help Customers put this two-model strategy into action. From providing performance feedback to front line associates as they’re working to training advanced AI models, we make sure every level of your team has the right tools. And as an integration-agnostic Warehouse Execution System we can generate the working data ourselves, or pull it in from any other system… even your robots! A dual-model setup keeps associates informed and motivated, while giving managers a future-focused edge. With LogistiVIEW’s solutions, you can strike the perfect balance between transparency on the floor and predictive intelligence in the boardroom.
