In today’s fast-paced business environment, efficient inventory management is crucial for ensuring smooth operations, especially when it comes to ordering essential supplies like dry goods. Vinsight, a comprehensive business management software, offers a powerful tool called the Stock Item Movements Schedule that revolutionises the process of ordering dry goods for its customers. This feature provides a week-by-week overview of planned stock movements, enabling businesses to identify potential stock shortages and generate purchase orders seamlessly. In this article, we will explore how Vinsight’s Stock Item Movements Schedule simplifies the ordering of dry goods, enhancing productivity and ensuring uninterrupted supply.
- Opening The Movements Schedule:
To access the Stock Item Movements Schedule, Vinsight customers can navigate to either the Stock Items List or the Packaging Operations List. From the Stock Items List, users can select one or more items and click on the “review purchase schedule” bulk action. Similarly, from the Packaging Operations List, users can choose packaging operations and utilise the “review purchase schedule” bulk action. This allows users to generate a customised report based on the selected stock items or packaging operations.
- Schedule Overview:
The Stock Item Movements Schedule provides a comprehensive overview of stock levels on a weekly basis. The schedule is organised by stock location and displays opening and closing balances for each week. Negative balances are highlighted in red, indicating potential stock shortages. By visualising stock movements in advance, businesses can proactively address any inventory gaps and make informed decisions to ensure uninterrupted supply of dry goods
- Filtering Stock Items (Searching):
Vinsight’s Stock Item Movements Schedule offers flexible filtering options to streamline the review process. Users can search for specific stock items or limit the view to a single stock location by entering the respective codes in the designated search box. Additionally, the schedule provides the option to show or hide stock items with no planned movements or those with sufficient stock. This enables users to focus on critical items that require immediate attention, saving time and effort.
- Ordering More Stock:
The Stock Item Movements Schedule empowers businesses to schedule new purchase orders effortlessly, ensuring timely delivery of dry goods. Within the schedule, users can utilise the “New Stock Delivered” rows to input the quantity and schedule of new purchase orders. As changes are made, the balances automatically adjust, providing real-time insights into how the new purchases will impact stock levels week by week. This interactive feature allows users to plan their stock deliveries accurately, minimising the risk of stockouts and ensuring optimal inventory management.
- Creating Purchase Orders:
Once the planned stock deliveries are finalised, Vinsight’s Stock Item Movements Schedule simplifies the creation of purchase orders. Users can review a summary of the new purchase orders at the bottom of the schedule, where Vinsight automatically groups purchases from the same supplier and considers lead times defined for each stock item. This streamlines the purchasing process, eliminates manual calculations, and ensures efficient communication with suppliers. The ability to create purchase orders directly within the schedule enhances convenience and improves overall procurement efficiency.
Vinsight’s Stock Item Movements Schedule revolutionises the way businesses order dry goods by providing a comprehensive and intuitive platform for inventory management. With its week-by-week overview of planned stock movements, flexible filtering options, and seamless purchase order generation, Vinsight empowers businesses to proactively manage their stock levels, minimise stockouts, and ensure uninterrupted supply of dry goods. By leveraging this powerful feature, Vinsight customers can streamline their material resource planning, optimise inventory management, and ultimately enhance their overall operational efficiency.
