Whether it is managing centralized procurement operations in an efficient way or replenishing distribution centers (DCs), or direct shipments to stores from suppliers, Solvoyo Purchase Order Planning allows organizations to optimize target stock levels and automate the re-order process to save time and inventory carrying costs while meeting service level targets
To compete in today’s agile world, it is essential to effectively balance the drive for better customer service against inventory investment and ensure purchasing aligns with the expected demand for future periods. Whether you are purchasing components, raw materials, or finished goods, purchasing requirements need to consider demand for the planning period, supplier lead times, and work with business constraints such as packaging requirements and minimum order quantities.
Through Solvoyo’s automated Purchase Order Planning solution, you can have a complete overview of your operations, order the right quantities considering operational constraints and monitor your spending. The solution dynamically sets the target stock levels through prescriptive analytics and recommends optimal timing and order quantities to ensure stock availability and prevent excess stocks.
Purchase Order life-cycle is visible online, allowing planners to focus their efforts on managing exceptions. By directly linking up the platform to your order management systems (SAP, Oracle, Microsoft Dynamics, or any other), Solvoyo can automatically trigger PO creation, closing the loop for complete automation.
"We have been using Solvoyo’s PO planning solution for 50 DCs, which gives us the ability to increase service levels while preventing stock-outs and excess stock. The model takes all supplier and operational constraints into account, allowing us to automate its recommendations conveniently."
Easily identify SKUs that need immediate action with all relevant information on the same screen
Easily identify SKUs that need immediate action with all relevant information on the same screen
Through AI/ML capabilities, demand forecast is automatically adjusted to changing lead times
Automated PO recommendations maximizing availability and preventing excess stock
Through AI/ML capabilities, demand forecast is automatically adjusted to changing lead times, and safety stocks are dynamically adjusted
Automated PO recommendations maximizing availability and preventing excess stock
Create and consolidate PO recommendations by modeling all supplier constraints including lead-times and minimum order quantities
Specify business rules and thresholds for automated PO review, exception management, and automated decision filters to reduce manual tasks and spend more time on strategic planning
Predict future inventory profile and run-out days considering historical sales, inventory and fulfillment rates
Easily approve your purchasing decision and send it to your ERP system
Establish a corporate memory of your previous purchase orders
Utilize visibility of relevant data, including current inventory, open orders, lead times, and vendor information
Predictive models estimating future demand
Actionable recommendations minimizing potential stock-outs
Multi-level workflow management for approval and user input tracking
Real-time integration with ERP for automated PO creation
Configurable dashboards for tracking, pending, approved and late POs
Automated diagnostics for managing exceptions and at risk items
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