Purchase Order Planning

Q: Improve Inventory Productivity

SKU/Store forecasting leveraging machine learning taking into account stock-outs Predict future inventory profile and run-out days considering historical sales, inventory, and fulfillment rates Master Data Management for parameters not available at ERPs

Q: Improve Efficiency And Visibility

Digital transformation of manual analysis and workflow management Status tracking and visibility to analytics creating corporate memory Automated update of SKU planning parameters using adaptive learning algorithms Actionable insights and forward visibility into the potential cause and impact of projected stock-outs or overstock conditions

Q: Boost Agility And Scalability

Highly and quickly scalable and adaptable for business growth and the process automation to manage millions of SKUs in the portfolio Short implementation cycles of cloud-native single planning platform

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

Delight your customers with better availability and fresh goods and save costs while doing that

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.

Erkan Ceritoglu

Managing Director
A101

"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."

 5/5

What can you achieve with
Solvoyo PO Planning Solution?

Improve Inventory Productivity

SKU/Store forecasting leveraging machine learning taking into account stock-outs
Predict future inventory profile and run-out days considering historical sales, inventory, and fulfillment rates
Master Data Management for parameters not available at ERPs

Improve Efficiency And Visibility

Digital transformation of manual analysis and workflow management
Status tracking and visibility to analytics creating corporate memory
Automated update of SKU planning parameters using adaptive learning algorithms
Actionable insights and forward visibility into the potential cause and impact of projected stock-outs or overstock conditions

Boost Agility And Scalability

Highly and quickly scalable and adaptable for business growth and the process automation to manage millions of SKUs in the portfolio
Short implementation cycles of cloud-native single planning platform

Improve Availability

Reduce Inventory Costs

In-season Inventory Management

DeFacto – Multinational Apparel Retailer
DeFacto reached a 100% automated initial allocation & replenishment processes’ accepting 90% of 150+ weekly recommendations

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In-season Inventory Management

Penti – Apparel Retailer
With smarter replenishment decisions, Penti balanced inventory across the chain enabled 25% revenue growth with only 2% increase in stock

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Using AI & ML in Retail Supply Chain Planning

Companies like Amazon, Walmart, Alibaba, and Zara are leading the path in the use of technology and advanced analytics in managing supply chains. Artificial Intelligence

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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

Purchase Order Planning Made Easy

Manage PO Recommendations

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

Review Purchase Order History

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 & Prescriptive

Predictive models estimating future demand

Actionable recommendations minimizing potential stock-outs

Digital Workflows

Multi-level workflow management for approval and user input tracking

Real-time integration with ERP for automated PO creation

Automated Diagnostics

Configurable dashboards for tracking, pending, approved and late POs
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‍Automated diagnostics for managing exceptions and at risk items

Purchase Order Planning