By Leena Patel

The electric vehicle (EV) market is growing rapidly, with sales increasing 55% in 2022. This growth has led to a need for better supply chain management to keep up with production and maintain service levels, while minimizing costs.

Sadique Mohammad Abdullah, a Senior Channel Planner with extensive experience in supply chain management, is a leader in EV supply chain innovation. His unique combination of skills in business analytics, mechanical engineering, and strategic sourcing has enabled him to optimize inventory management and demand forecasting, which has resulted in improved operational efficiency, cost savings, and better service delivery.

His job is to lead a team that predicts the need for and restocks Electric Vehicle parts and accessories across the globe. This means he manages the supply chain for many regional distribution and service centers worldwide. He's not just good at predicting and restocking; he's also creative in using technology to build data-driven models and automated processes that improve how the supply chain and logistics management works.

The EV market is faced by a number of challenges that prevent the effectiveness of supply chain management. The most important of these is the highly growing demand for cars and parts that enable them to be used for long periods. Due to the necessity of rapid turnaround and reduced downtime at the service facilities, manufacturers have a challenge of inventory optimization when storage capacity is low and demand is volatile.

Additionally, the complexities involved in global sourcing and distribution networks make supply chain management even more challenging. Companies are constantly working hard to improve their demand forecasting accuracy, manage parts availability, minimize excess inventory, and control freight costs. This is especially difficult for expanding startups with limited historical data, forcing supply chain managers to come up with creative solutions to overcome these obstacles.

To address these issues, most electric vehicle companies have shifted to sophisticated supply chain management tools that combine real-time monitoring, machine learning, and automation. For example, some have implemented cloud-based software solutions to enhance inventory visibility and decision-making. These solutions enable better demand forecasting and replenishment strategies by combining different data sources like vehicle diagnostics and production plans.

Some companies have also tried to send services directly to customers using mobile service platforms. This reduces pressure on service centers and improves customer experience. However, these solutions are not enough to solve the main problems of inventory optimization, process automation, and alignment between different departments, which are all needed to expand operations globally.

Sadique's contributions are unique for their creativity and measurable impact on the success of the industry's operations. Among his greatest achievements is creating a capacity planning model that maximized inventory levels in service centers. This was especially important because these centers have limited storage capacities/space. The model not only enhanced inventory turns by realizing a whopping 2-turn rate in six months for the pilot project, but it also assisted in lowering inventory holding costs while keeping the service centers well-stocked with the required parts. It is the capacity to reconcile finite storage with the requirements of high levels of service," Sadique added. "It's about that golden spot at which we are able to deliver top-notch service without sacrificing on cost-effectiveness."

Another innovation of Sadique's work lies in his implementation of Python coding to create analytical models that narrow down demand forecasts and restock parts more automated and streamlined. The models are intended to deal with huge volumes of data, encompassing real-time feedback from production lines and service centers to make certain that the parts are in the right place and quantity at the right time. This sophisticated forecasting technique not only enhanced the fill rates of service centers but reduced stockouts and excess inventory significantly, resulting directly in cost  savings.

In addition to this, his initiative in leading process automations has enabled reduction in  manual effort. Through automating repetitive tasks, his team has freed up more than 9 hours of work every day from operation tasks, increasing overall team productivity and efficiency.

"Making the supply chain smarter has always been my priority," Sadique explained. "Through process automations and data-driven decision-making, not only do we save time, but we also make sure that we deliver on our customer promises without overloading our teams and stakeholders."

The direct benefit of Sadique's efforts is seen in the capacity to deliver on service and new vehicle delivery targets while growing internationally. With the count of service centers almost doubling in the past year, Sadique's effective planning and forecast models made sure that the same group of planners could handle the increasing number of sites without compromising on service quality. This scalability, driven by automation and better processes, has gone a long way in facilitating the rapid growth of the electric vehicle industry.

Service availability and customer satisfaction have greatly improved through his efforts. Through Python-based models and process automation, the company has been able to achieve a fill rate of over 85% in all service centers, with the purpose of delivering parts replacement and repair in a timely manner to customers. This translates to improved customer retention and brand loyalty necessary for competitiveness in the rapidly growing electric vehicle industry.

Sadique's innovative solutions have not only solved current supply chain issues but also set a standard for future advancements in the EV industry. As companies expand globally, efficient and customer-focused supply chains will be crucial for success. Sadique's work shows that analytics, automation, and collaboration can overcome global supply chain challenges.

Author Bio

Leena Patel is a Boston‑based journalist covering energy infrastructure and grid modernization across North America. After earning a master’s in environmental policy from Columbia University, she reported for Utility Dive and Greentech Media, where she broke stories on smart‑meter rollouts, renewable‑integration hurdles, and rate‑case battles at state commissions. Her work focuses on how data‑driven technologies, and the people behind them, reshape reliability, affordability, and sustainability for everyday consumers.