Enhanced Inventory Management for Sage 300

By: Sharon Paul

Most Sage 300 users are familiar with Sage Inventory Advisor, which has been a popular third-party add-on solution for many years. However, it was recently announced that a next generation offering, Predictive Planning Suite, will replace Sage Inventory Advisor for new users.

Let’s look at what Predictive Planning Suite has to offer as a powerful inventory demand and supply planning tool.

What Is Predictive Planning Suite for Sage 300?

Predictive Planning Suite combines your Sage 300 ERP data with AI-based technology and analysis to help you make better inventory decisions, optimize order levels and minimize stock-outs.

Not only does this powerful solution improve inventory visibility and help you make faster and more informed decisions, but it can also reduce inventory levels by 10-25% and improve your fill rate by 10% — freeing up capital tied up in excess stock and promoting customer satisfaction.

Key Features

Key features of Predictive Planning Suite for Sage 300 include:

KPI Dashboard

A visual dashboard provides at-a-glance access to key inventory metrics like fill rate, stock-outs and potential stock-outs, surplus orders, excess stock, returns and more (click to see example).

Inventory Forecasting

A robust machine learning (ML) forecasting engine brings “big business” technology to small and mid-sized companies, helping you predict scenarios and outcomes around supply and demand.

AI-Based Digital Assistant

The built-in Opportunity Engine uses AI and ML algorithms to analyze historical data and other factors to forecast future demand and provide real-time replenishment recommendations.

Custom Report Builder

You can create custom reports in four simple steps and export to Excel for further filtering and sorting.

Watch this video demo to see more.

 

Need Help?

If you have questions about Sage 300, connect with us online or give us a call at 410.685.5512.

 

©2024 Juice Marketing, LLC. http://www.juice-marketing.com. All rights reserved. This article content may not be reproduced (in whole or in part), displayed, modified or distributed without express permission from the copyright holder.

Published June 11, 2024

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