Streamlining Delivery with Consolidated Data: Insights from InterSystems' Chris Cunnane
In today's fast-paced business environment, large organizations face numerous challenges when it comes to order fulfillment. With tens of thousands of products, multiple modes of transportation, IT systems, and third-party logistics partners, a seamless and efficient fulfillment process is essential.
Common hurdles in order fulfillment for large organizations include inventory discrepancies, managing multi-warehouse orders, order picking errors, inefficient workflows, and order splitting complexities. These issues frequently stem from poor communication, inadequate tracking systems, and rigid traditional order management systems.
To tackle these issues, large organizations can implement advanced solutions. Implementing robust inventory management systems can help improve stock tracking and reduce discrepancies. Adopting Commerce Orchestration and intelligent order splitting can streamline multi-warehouse fulfillment, reducing delays and cutting shipping costs. Using verification technologies during picking and employing optimized warehouse layouts and picking strategies can increase accuracy and reduce errors.
Setting clear order accuracy goals and tracking metrics openly with teams, planning labor and equipment resources ahead, and leveraging 3PL partnerships can further improve performance. An intelligent data platform can eliminate the data challenges organizations face on their path to optimized fulfillment and repeat purchases.
Technology plays a significant role in improving order accuracy and efficiency, with automated packaging and shipping systems reducing errors and lowering fulfillment costs. Standard sizes and categorizations can help determine shipping costs, while AI and ML help companies make smarter decisions faster and simplify manual processes in the warehouse for improved OTIF.
Managing too many SKUs can lead to higher inventory carrying costs and general inefficiencies. Optimizing fulfillment requires a well-designed system, efficient logistics, and a reliable supplier network. The industries that would see the biggest improvement in fulfillment rates if able to ingest real-time data and provide actionable insights to business users were automotive and aeronautics, FMCG, and manufacturing/CPG.
Tracking inventory levels and assessing inventory age are essential to making informed decisions about restocking and mitigating risks such as stockouts and overstocking. An OTIF score of 80% to 90% is generally considered good, but many companies aim for 95% or higher.
Chris Cunnane, Supply Chain Product Marketing Manager at InterSystems, emphasizes the importance of a streamlined source of standardized, clean, meaningful, and reliable data for near real-time insights. He has 20+ years of supply chain expertise.
The fulfillment process is complicated by ongoing shifts in customer expectations and demands, geo-political and weather disruptions. To optimize fulfillment, organizations must source and receive inventory, store inventory, process orders, pick and pack orders, ship orders, and manage returns effectively.
In conclusion, by integrating robust inventory controls, flexible orchestration technologies, process automation, and strategic labor planning, large organizations can significantly enhance order fulfillment, reduce errors, delay, and costs, and improve the customer experience.
- To address issues in order fulfillment, large businesses can adopt advanced solutions such as robust inventory management systems, Commerce Orchestration, and intelligent order splitting to streamline multi-warehouse operations and reduce delays.
- Employing verification technologies during picking, optimized warehouse layouts, and picking strategies can increase accuracy and reduce errors in the fulfillment process.
- An intelligent data platform can help eliminate data challenges organizations face, providing actionable insights for optimized fulfillment and repeat purchases.
- Technology, including automated packaging and shipping systems, AI, and ML, plays a crucial role in improving order accuracy and efficiency, simplifying manual processes, and lowering fulfillment costs.
- Large organizations can significantly enhance order fulfillment by integrating robust inventory controls, process automation, flexible orchestration technologies, and strategic labor planning, aiming to provide a seamless and efficient fulfillment process that meets customer expectations.
