AI For Warehouses: How FairPrice Group Achieved Increased Efficiency & Reduced Cost

The future of retail is constantly in motion, strengthening supply chain resilience is a survival imperative to cope with sudden external shocks that emerge. In FairPrice Group Supply Chain, data is leveraged on to provide a single source of truth across all business units.

This enables them to track manufactured goods from packaging to shipping, making informed decisions on stored products as well as cost-effective opportunities. By aiming to create a more resilient and efficient supply chain, it hopes to deliver customer-centric experiences.

Muni Vinay Kamisetty, Head of Technology and Innovation, with over 15 years of experience in integrating Artificial Intelligence (AI) operations into the core of business practices, shares his insights on how autonomous solutions and hardware robots can reduce inefficiencies. Using reinforcement learning, we can generate predictions on the emergence of upstream problems such as adverse weather conditions and impacted export-import activities. Conducting monitoring activities and effective inventory management can support these in return as well.

He further stresses,

• Using a combination of two technologies in tandem – upstream AI automated predictions and downstream digital twin robotics-enabled operations to support core business activities.
• The need to build cloud-based, low-code platforms to foster an innovative culture of constantly adapting to current technologies!
• Preventing data breaches and implement encryption strategies to protect customers’ privacy!
• Building a strong talent pool – conduct upskilling programs to enhance their digital capabilities through partnerships with cloud providers and third-party AI tools!