Quick-changing consumer trends and increasing digitalisation means that retailers cannot solely rely on time-intensive content creation. Our automated solution generates unique content from product attributes, streamlines workflow and automatically tags images, saving retailers the time to focus on what customers value most.

For a global food major, the downstream retailer level data was proving to be highly unstructured to base any strategy on. Manual interventions were leading to errors and inventory issues were negatively impacting business. Our AI-First forecasting enabled a central repository for the demand data from more than 4000 distributors, for efficient shelf management and pricing analysis thereon.

Employing manual shelf audits for stocking items involve a lot of resource usage and lead to frequent out of stock (OOS) situations, which negatively influence consumer loyalty and lead to huge losses for major retailers. Our AI-First OOS prediction model factors in relevant data like demand, forecasts, re-order points, stock, and item factors like promotion periods, discount type and percent, competitor, etc to accurately identify the top reasons of OOS for retailers.

Our AI-powered chatbots are designed to identify relevent customers and provide them with the required support. Every interaction enhances their understanding of consumer behaviour, enabling them to provide better informed and personalised solutions over mobile, web or social channels.

Due to multiple customer touch points, there are many sources of customer interactions. Our AI-powered solution continuously learns and connects that data for better insights and a much better and personalised customer experience. It also leverages video-based data for real-time security and advanced use cases like pick and go (Eg. Amazon Go experience).

1. Reduce turnaround time by up to 70%; TCO up to 40%
2. Generate 1000+ tags in ~4 hours, 1000+ product content in real time
3. Streamline process and improve workflow

1. Reduce forecast error by up to 45%
2. Lower inventories by up to 20%
3. Increase customer service levels and reduce write-offs
4. Collaborate better across teams for faster decisions
5. Reduce stock-outs and slow moving inventory by 5-10%

1. Reduce out of stock situations
2. Identify future OOS situations and plan for preventive actions

1. Have a seamless and faster connect with customers
2. Deliver real-time, instant answers and anticipate future needs
3. Reduce cost by up to 30%

1. Connect one view of customer across the channels
2. Plan marketing assortment and promotions effectively
3. Understand customer preferences better
4. Have advanced real-time alerts for security threats
5. Frictionless checkou