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Tackling the problem of food waste

The facts about waste are indeed alarming. At HUL, we're committed to raising awareness about the scale and impact of food waste, empowering informed choices, and envisioning a future with minimal food waste.

Getting ahead with joint forecasting and replenishment

At HUL, we prioritise accurate volume forecasting to enhance product freshness for consumers. We track forecast bias closely, correcting any under- or over-sales against our forecasts for future improvements. Our dynamic demand planning involves reviewing recent trends, order trajectories and customer holdings to inform production and distribution decisions.

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Our Forecast Accuracy has consistently been over 70% with a bias band of +-5% which is a testimony to our focus on providing superior service at minimum cost and maximum freshness.

Additionally, we're advancing towards machine learning-based demand forecasting. The algorithm considers demand signals based on actual customer off-takes and sales losses at the Redistribution stockist level, coupled with external factors like rainfall and temperature. This approach ensures a well-connected supply chain with minimum human intervention, leading to improved service, freshness, and waste reduction across production, distribution, and sourcing processes.

HUL acknowledges the ongoing need for consistent progress in waste management. We recognise the challenges and prioritise driving behaviour change and awareness among people. As a responsible company, we are dedicated to creating a waste-free world and collaborating with partners to address existing gaps across the product life cycle.

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