Kagool harnesses advanced analytics features, including predictive modelling and AI-driven insights, to empower retailers with foresight into sustainability trends, energy consumption patterns, and resource utilisation. Through machine learning algorithms, Kagool predicts renewable energy production peaks and valleys, enabling businesses to optimise their energy usage and reduce reliance on non-renewable sources. Predictive analytics also forecast demand to minimise waste, a crucial aspect of sustainable operations in retail.
This KPI measures the GHG emissions associated with each unit of product sold, offering insights into the carbon intensity of product lines and identifying opportunities for reduction.
By analysing energy consumption relative to sales or foot traffic, retailers can gauge the efficiency of their stores and implement measures to reduce energy usage without impacting customer experience.
This metric evaluates the proportion of products sourced from sustainable practices or certified suppliers, highlighting the retailer's commitment to ethical and environmentally friendly supply chains.
This is a critical KPI for retailers, measuring the effectiveness of initiatives to reduce waste generation through recycling programs, packaging optimisation, and minimising food spoilage.