OrangeMantra’s client, a leading retail chain based in Bangalore, faced significant challenges in managing their extensive inventory efficiently. The rapidly growing business struggled with issues such as inventory accuracy, stock-outs, overstocking, and delayed responses to market trends. Seeking a transformation in solution, the client approached OrangeMantra with the vision of leveraging AI to revolutionize their inventory management.
Retail & FMCG
AI/IoT/Emerging Tech
Our AI-powered inventory management system introduced a robust technical framework. Utilizing RFID tags and sensors, we achieved a 98% real-time inventory tracking accuracy, reducing errors and optimizing stock levels. Machine learning algorithms improved demand forecasting precision by 30%. Automation reduced operational workload by 45%, enhancing overall efficiency. A user-friendly dashboard streamlined decision-making and response times to market dynamics. This AI-driven solution elevated our client’s technical capabilities in inventory management.
Our team conducted in-depth consultations with the client to address their specific pain points and objectives. Collaborated with the client’s team to identify key performance indicators (KPIs) for success.
Defined a comprehensive technical framework for the AI-powered inventory system. Applied RFID tags and sensors as the primary tools for performing real-time inventory tracking.
Performed automation of key inventory management processes to lower operational workload by significant margin. Implemented automated restocking based on demand forecasts to keep a check on stock levels.
Designed and implemented a user-friendly dashboard to execute inventory data monitoring. Conducted training sessions to familiarize the client’s team with the newly developed dashboard.
The challenges our client faced were multifaceted. They struggled with maintaining accurate inventory levels across numerous stores, leading to stockouts or overstocking. Manual inventory management was time-consuming and error-prone, hindering decision-making. Forecasting demand and optimizing restocking processes were arduous tasks, often resulting in lost sales or excess inventory.
Multiple challenges were present related to integrating the AI-powered system with the client’s existing infrastructure. Performed thorough testing to ensure seamless compatibility and minimal disruptions.
Client faced troubles from staff members regarding the adoption of automated processes. Added a comprehensive training program to facilitate smooth adoption across different levels.
Our AI-driven inventory management system produced significant technical impacts. Inventory accuracy improved by 35%, reducing stockouts and overstocking. Operational processing time decreased by 40%, enhancing efficiency. Sales increased by 15% through precise demand forecasting. Costs associated with excess inventory and emergency restocking dropped by 25%, resulting in substantial savings. Our client’s ability to respond to market trends improved by 50%, showcasing the transformative effect of AI on their technical capabilities in the retail industry.
Improved inventory accuracy by 35%, mitigating stockouts and overstocking. Reduced operational processing time by 40%, enhancing overall efficiency.
Increased sales by 15% through precise demand forecasting. Decreased costs associated with excess inventory and emergency restocking by 25%.
Improved the client’s ability to respond to market trends by 50%. Showcased the transformative effect of AI on their technical capabilities in the retail industry.
