Analytics can identify opportunities even in challenging economic conditions. By utilizing AI and machine learning, retailers can improve traditional forecasting models and increase the frequency of planning cycles. This allows businesses to respond more effectively to fluctuating demand, ultimately helping to boost revenue.

Understanding customer expectations, particularly around sustainability, is crucial for enhancing brand loyalty. A robust customer data platform, supported by analytics, enables retailers to reclaim customer data from third parties. This helps in creating personalized experiences and orchestrating optimal customer journeys, which can foster loyalty.

Retailers can leverage analytics to incorporate various demand signals into large-scale forecasting. This approach allows for better optimization of inventory distribution across different SKUs, locations, and channels, making it easier to respond to demand spikes and supply chain pressures.