Digital Warehouse Management: Helping SME Become Efficient and Accurate

Digital Warehouse Management: Helping SME Become Efficient and Accurate

In a constantly evolving business landscape, it’s important for small and medium enterprises (SMEs) to keep up with the technological advancements in warehouse management. The traditional manual methods have been replaced by digital technologies that offer real-time access to data, improved accuracy, efficiency, and greater control over warehouse operations.

Digital vs Manual Warehouse Management: 

Manual warehouse management involves the use of paper-based systems for inventory management, order fulfillment, and shipment processes. It involves a lot of physical activities, such as hand-picking, manually counting, and tracking products. This approach might be feasible for small-scale businesses with low order volumes, but it might become inefficient and time-consuming as your business grows.

In contrast, digital warehouse management systems replace the traditional processes with software applications that capture inventory data, order information, and shipment coordination within one platform. These automated systems collect, store and analyze data in real-time. Digital solutions reduce the potential for human errors and duplication, improves accuracy, and increase the speed of the putaway and picking process.

The role of technology in competitive industries: 

In an industry where time is a prized asset, reducing wastage, and increasing efficiency is a necessity for small and medium-sized businesses. Implementing digital warehouse management solutions presents an opportunity for businesses to achieve short-term and long-term operational efficiencies. 

Digital solutions offer real-time insights into the inventory status, thus enabling you to allocate resources effectively. Besides, with accurate product records and real-time tracker data, businesses can avoid overselling, stockouts, incorrect shipments, and other related challenges. For instance, putaway and picking process can considerably improve accuracy and effectiveness of warehouse operations.

Putaway and Picking:

The picking process involves the selection of products from the warehouse to fulfill customer orders while the putaway process is the initial stage of inventory management, which involves the placement of products in a warehouse. 

The efficiency and accuracy of putaway and picking processes determine the overall effectiveness of warehouse operations. An efficient pick and putaway process promotes shorter lead times, timely fulfillment of customer orders, and lower operational costs. 

Digital warehouse management systems impact the picking process by offering real-time inventory data, optimizing the route picking method, reducing picking errors, and increasing picker productivity. The use of technologies such as barcode scanners, RFID, and voice recognition, ensures that the correct products are picked through automated tracking. 

Similarly, the digital putaway process helps the business to eliminate errors, prioritize storage locations, and reduce the time required for product placement. With real-time inventory data, companies can optimize the storage location of their inventory to keep fast-moving products closer to the picking stations.

All in all, digital warehouse management is a necessity for competitive industries to stay relevant and competitive in the market. With the use of digital warehouse management solutions, businesses can optimize their warehouse operations, increase the accuracy of their orders, reduce wastage, reduce operational costs, and offer timely delivery to their customers. Moreover, with effective putaway and picking processes, businesses can maximize the productivity of their warehouse while concurrently improving the accuracy of inventory control.

Trakkia InsightsHow IoT & AI powered warehouse management workflow from Trakkia can help streamline store/warehouse operations for SME

Trakkia, an IoT & AI-powered warehouse management system, enables SMEs to streamline their store/warehouse operations by harnessing cutting-edge technology that maximizes efficiency and accuracy. Trakkia tracks every aspect of the warehouse workflow, including putaway, picking, packing, and shipping. By leveraging AI and IoT, Trakkia provides businesses with real-time inventory visibility, automating decision-making, and improving operational efficiency.

The AI component of Trakkia analyses the data that is gathered from the warehouse workflow and creates key insights, that help in continuously optimizing the workflows, monitor inventory levels and forecast demand. By using IoT sensors, it identifies the location of the assets, and links them to a specific task within a warehouse, reducing waiting times and improving productivity.

Moreover, Trakkia’s advanced digital dashboard and tracking allow the warehouse managers to monitor the entire workflow from their desk and make informed decisions about inventory levels, stock rotation, and asset tracking. This reduces the time a worker needs to spend on manual tasks, which can be redirected towards more productive tasks that require a human touch.

The system’s advanced capabilities help SMEs to forecast demand based on seasonality and purchase decisions, significantly reducing the likelihood of excess inventory, obsolescence, and undersupply, enabling just-in-time inventory management. It can also generate alerts for managers if stock levels go below the reorder point, to always ensure that enough inventory is present in the store/warehouse. 

 

In conclusion, the Trakkia warehouse management system creates a seamless flow of information, facilitates accountability, and enables businesses to optimize their supply chain processes by using a single platform. SMEs can benefit from the powerful combination of AI and IoT to improve their warehouse operations and keep up with the technological advancements today’s market demands.

Want to know more? Share your details here and we will get in touch with you.

Leave a Reply

Your email address will not be published. Required fields are marked *