Background
Mondelez has Productivity as a key initiative which generates
- Value for consumers by delivering the quality they love while keeping our products affordable.
- Value for delivering margin improvement to enable investment in growth.
- Value for employees by reducing complexity of our raw materials
- Helps us to reduce waste & improve value to our consumers: Eliminating things that don’t add value (but add cost)
Mondelez has been doing productivity successfully year on year with internal tools, methodology, programs. Now looking for new, innovative tools/methodology/ programs/ in productivity/ cost optimization/margin improvement in raw material or recipe. Machine learning, Open innovation, artificial intelligence can be some areas that can be explored.
Mondelez is looking for external partners who can bring us new insights in the cost savings in raw materials & recipe.
Challenge
Mondelez is particularly looking at,
- Any tool/methodology/program to investigate food product recipes for optimizing set of ingredients or its cost. How can we identify key cost drivers in overall product cost?
- Any tool/methodology for understanding how we can simplify raw materials & elements of a product bundle. Anything on efficient sourcing of food ingredients.
- Any technology/methodology for designing food products with optimized materials & manufacturing cost.
- Any tool/methodology for benchmarking product, recipe, packaging format, product cost, margin management etc. in food & beverage industry.
- Any Artificial intelligence tool/system which can generate ideas from existing database available within Mondelez systems.
- Any new framework that can identify optimizations in recipe/sourcing/raw material specifications.
What's in it for you?
This is a global Challenge and Mondelez is willing to collaborate with both individuals freelancers, other industry participants, universities etc. Mondelez will have internal review of all applications once challenge has closed. Successful applications will be contacted.