Anyone who has lived through the last decade of supply chain upheaval tells you the same thing: the warehouse stopped being a back-office afterthought long ago. Order profiles keep fragmenting, labor keeps getting harder to find, and same-day delivery is now a baseline, not a perk. What separates a distributor that thrives from one that limps along often comes down to how intelligently goods move inside four walls. For nearly two decades, Vinaykumar Sharma has focused on solving exactly that challenge. “Warehouse execution used to be a question of inventory accuracy,” Sharma says. “Now it is closer to the nerve center of the whole digital supply chain, and most companies are still catching up.”
None of this is abstract. A warehouse that runs well puts money back on the table: faster deliveries, lower handling costs, repeat customers. Part of it is watching what sells, since tracking high velocity items lets a business:
Maintain optimal stock levels
Reduce stockouts and backorders
Avoid overstocking slow-moving items
Improve picking and packing speed
And with enough sales history, the same data sharpens forecasting, which shows up as smarter purchasing, lower carrying costs, healthier cash flow, and higher fill rates.
Sharma has built his career in the SAP world, most of it inside EWM, the system large enterprises lean on to run inbound, outbound, production, quality, transportation, and inventory at scale. A certified SAP Extended Warehouse Management professional, he has worked through more than 16 go-lives and support programs, from the older EWM 9.x releases through the full run of S/4HANA versions and into EWM in the cloud. Across those programs, clients have credited his work with substantial operational savings and efficiency gains.
The range of industries is deliberately broad: retail, life sciences, oil and gas, food and beverage, and discrete manufacturing. Some of the sites he has supported move as many as 5,000 inventory movements a day across 12 facilities. The variety is the point. A pharmaceutical client fighting serialization and quality holds needs something very different from a food distributor wrestling with catch weight, or a manufacturer automating a plant floor. Sharma has built for all three.
A few projects capture the range. At McCormick, he helped design a fully automated facility run by automated guided vehicles, tying the robotics, conveyors, and control systems back to SAP so the machines handled picking, putaway, and replenishment on their own. The work dramatically reduced manual handling and delivered a sharp lift in throughput. At Roche, he delivered a decentralized, life-sciences-grade warehouse built for the exacting demands of pharmaceutical production, where traceability and quality control leave no room for error. At Composites One, he put real-time inbound, outbound, and inventory control directly in operators' hands through a full suite of mobile applications, cutting picking exceptions by about 35%. Behind those flagships sits a longer list of work across retail, food, and industrial clients, including decentralized and cloud rollouts, returns and packing redesigns, and shipping and labeling integrations, all of which have significantly accelerated order processing across the board.
If there is a signature to his work, it is resilience: building warehouses that keep running when conditions are not perfect. One example was an offline scanning solution that kept operations moving even when wireless networks dropped. Picking, putaway, and inventory counts continued uninterrupted and synchronized automatically once connectivity returned. That instinct, designing for the messy reality of a working floor rather than the clean version in a slide deck, runs through everything he builds, from the mobile tools operators carry to the behind-the-scenes connections that let automated equipment and shipping systems talk to SAP without missing a beat.
Underneath the technical work is a steady philosophy: technology should take friction out, not add more. Sharma often serves as the bridge between business stakeholders and technical teams, leading workshops that translate operational realities into systems that engineers can build. On more than one program, that patience pushed inventory accuracy to 98%.
Beyond individual implementations, Sharma has become a trusted advisor on SAP Extended Warehouse Management and warehouse automation, helping organizations navigate increasingly complex fulfillment challenges. His perspectives on automation, mobility, and SAP EWM modernization reflect broader shifts reshaping distribution and manufacturing operations worldwide.
Ask Sharma where this is all heading, and he does not hesitate. The warehouse, he argues, is starting to think for itself. “The companies that win will treat the warehouse as one connected system, not a series of handoffs,” he says. “Every handoff is a place to drop the ball.” He sees the next decade reshaped by several forces at once: AI-driven warehouses that learn from their own data and adjust on the fly; autonomous operations where robots and people share the floor as a matter of routine; digital twins that let a company test a new layout or a holiday surge before committing a dollar to it; and predictive inventory that positions stock ahead of demand instead of scrambling to catch up. The move to S/4HANA and embedded or decentralized EWM, in his view, is what makes it all possible: the common foundation that lets planning, execution, and live data move as one. “We spent years making warehouses faster,” he says. “The work now is making them smarter.”
Sharma trained as an engineer at Mumbai University and is now based in Chicago. He has led or supported transformations across global and Fortune 500 companies, and he still takes on the messy, high-stakes implementations most consultants would rather hand off. As warehouses evolve into intelligent, connected ecosystems, his combination of deep SAP EWM expertise, automation experience, and strategic vision has positioned him among the specialists helping shape the next generation of digital supply chains.