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▼ Josh Pitman
Utilizing AI
The first project is through a Knowledge Transfer Partnership ( KTP ) scheme , sponsoring a PhD graduate for 30 months supported by university expertise around machine learning ( ML ), logistics and predictive modelling and demand forecasting . The graduate is using our data and AI to develop an innovative forecasting model to predict clients ’ needs and enable more efficient planning , manufacture , and movement of packaging stock . The model will enable us to operate in a drastically more sustainable and efficient way , propelling growth , and will be transferrable to other sectors .
We identified the opportunity to transform how we operate through AI several years ago but lacked the resources and budget inhouse to make the innovation a reality . Now we hope that other businesses will learn from our project .
Improving the approach to assessments
There is a growing global urgency for retailers to work towards net zero , both for the greater good and the bottom line , as consumers increasingly take environmental credentials into consideration in their buying choices . What is missing is the data and transparency in supply chains to enable businesses to tangibly reduce their impact beyond the real or virtual shop floor .
In other words , there isn ’ t enough information available for businesses to improve . In response to this , our second project involves developing a cradleto-grave Life Cycle Impact Assessment approach that is much broader than traditional assessments . It will enable businesses to fully understand the CO 2 footprint and environmental impact of packaging choices and supply chain
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