Best Supply Chain Planning Software for Epicor Kinetic

Netstock is a leading supply chain planning software trusted by 2,200 customers globally to optimize their planning. Netstock's cloud-based solutions enable businesses to be agile, responsive, and profitable. Each solution integrates with leading ERPs and leverages enhanced analytics so you can quickly respond to market change and make the best supply chain planning decisions for your business. NOTE: NETSTOCK requires you to have an ERP system. Check out our website to see a complete list of the top ERP's that we integrate with.

StockIQ's forecasting hierarchy provides top-down data at the product-group and category levels so that you can reach general consensus about volumes and revenue. StockIQ will monitor the inventory in your warehouse and alert you if there are any problems. To help you balance your inventory efficiently, we'll recommend grouped transfers. StockIQ analyzes your promotion history to determine what is most important to the promotion response. This allows you to accurately predict the effect of the next promotions on demand. StockIQ's supplier management module lets you use actual receipt history to calculate lead times. StockIQ keeps track of the performance of all vendors. StockIQ keeps track of all dates on your orders before and after adjustments. This allows you to determine which suppliers are always on time and which ones are always late. StockIQ can help you predict when certain items will expire. StockIQ can identify excess inventory and track new items. It can also see what is back ordered.

DemandCaster offers cloud-based software designed for flexible supply chain planning, enabling users to effectively tackle their most pressing planning obstacles now and as their operations expand. The platform seamlessly integrates with nearly any ERP system, facilitating the movement of master production schedules to enhance purchasing and production processes while regularly extracting operational data to refine requirement strategies. Organizations worldwide leverage DemandCaster's supply chain planning tools to maintain a competitive edge, gaining exceptional insights and adaptability in an ever-changing market. Our comprehensive and user-friendly solutions cover all aspects of supply chain management, including inventory forecasting, sales and operations planning, demand forecasting, supply planning, production and capacity planning, as well as planning across multiple locations. With DemandCaster, businesses can transform agile supply chain planning into a proactive mechanism that fosters continuous improvements in efficiency, profitability, and growth, ensuring they are well-prepared for future challenges. This makes it an essential tool for any organization aiming to optimize their supply chain operations effectively.

Verusen's cloud platform, enhanced by AI, integrates seamlessly with various data sources to automatically identify and classify duplicate parts data. This system effectively prevents unnecessary inventory purchases by recognizing existing quantities on hand, while also addressing the issues of obsolete, slow-moving, and excess inventory. Users gain precise visibility into their on-hand materials and can make informed decisions on optimal deployment. Additionally, the AI continually evolves by learning from actual usage, allowing for quicker and more reliable inventory insights on a larger scale. This is the transformative impact of Verusen. As a company specializing in Supply Chain Intelligence, Verusen utilizes artificial intelligence to deliver accurate material information for managing complex global supply chains, focusing on data integrity, inventory optimization, and procurement intelligence. Their platform unifies fragmented material data from various ERP systems, ensuring reliable information throughout the organization, which helps reduce inventory expenses and fosters confidence in production reliability. Ultimately, Verusen empowers businesses to make smarter, data-driven decisions in their supply chain operations.