Everyone is using AI, but are they using it well?
Before jumping to the whole system and how to work with it, you have to make sure you are implementing the system accordingly. This is what many businesses have done, and the results have been much more than just satisfactory.
After all, today’s volatile supply chain environment and market make artificial intelligence a necessity. You have to manage inventory accordingly and with unprecedented precision. Otherwise, losses and lower profit margin are affected by what you are holding alone.
AI for surplus inventory management is transforming how companies manage their inventory. In the process, they work with forecast demand. They can optimize stock levels and plan for liquidation.
Everything without working extra and around human resources they don’t have.
By leveraging machine learning and real-time data, everyone can predict excess inventory with AI. It takes proactive steps to reduce waste and maximize profits, everything customized to your needs.
At Coastal Surplus Solutions, we encourage companies to rely on this option. AI is more than a basic tool, and as long as it is used with care and proper customization, it achieves wonders.
But what should you use for your surplus inventory risks and predictions?
Tool 1: ClearMetal – Demand Forecasting with AI
Out of all the tools you can find, ClearMetal is a leading AI-powered platform.
It is designed to provide real-time supply chain visibility and predictive analytics for inventory management. However, it does it based on your data and specific market and industry.
The core of this option lies in how it uses machine learning to analyze historical data, current trends, and external factors. All of them are moved to the data and generate highly accurate demand forecasts.
The specifics are around the way it can keep track of real-time shipment and inventory. This is across the entire supply chain, making it reliable and not so subjective to your inventory alone.
Based on this, it goes over the predictive elements, anticipates disruptions, and works on stockouts and overstocking.
It is all a matter of data harmonization and bringing multiple sources in. This ensures actionable insights and unbiased information.
Automated alerts for potential risks or delays enable proactive management. As a whole, the tool offers a complete forecast and information about the specific supply chain you choose.
How does this work on the business level? ClearMetal’s AI-driven approach offers:
- Businesses to reduce surplus inventory using AI.
- Businesses continuously refine forecasts and optimize inventory flow thanks to analytics.
- Help achieve lower carrying costs.
- Improves customer satisfaction.
- Speeds up responses to market changes.
Tool 2: ToolsGroup – Inventory Optimization
As prominent as it is, making a lot of people question it, ToolsGroup is a good option thanks to its machine learning inventory forecasting option and results.
The platform specializes in automating demand planning, replenishment, and inventory optimization. All of it for complex supply chains that derivate from different branches and sources.
Unlike the previous tool, it is able to:
- Offer advanced machine learning models that adapt to changing demand patterns. This makes it more accurate and works well with supply chains that experiment daily, hourly, or by the minute.
- The scenario planning and risk analysis for inventory decisions are more accurate.
- Automated recommendations are provided to minimize excess inventory.
- It offers seamless integration with RP and supply chain systems. This makes it viable for multiple areas and markets.
You can implement AI tools for liquidation planning and work on your inventory. This guarantees that your investment aligns with real-time demand and reduces the risk of overstocks.
According to Cogent Infotech, this mix of advanced machine learning models is what allows businesses to avoid markdowns and extra expenses.
Case Study: Retailer Reduces Surplus by 35% with AI
While many implement it, few share their results.
However, AI-powered tools work to reduce risk, and this can be seen in specific retailers.
A national retailer in Florida implemented them by using ClearMetal and ToolsGroup as the main options. They worked on setting them to analyze demand forecasting and inventory optimization.
These tools were established through multi-channel networks. This is what makes them track more than one specific statistic.
By integrating them, they were able to:
- Access and analyze real-time sales, shelf data, and external market signals.
- Proceed to automate replenishment and liquidation planning. Everything is based on predictive analytics from the platforms.
- Reduce surplus inventory levels by up to 35%. All of this within a year and freeing millions in working capital.
This success story shows how AI for surplus inventory management can work when established. While it isn’t invincible and results can slightly vary, you can offer measurable financial and operational benefits for your business.
Start Today with AI
Take your time and establish your system.
AI is revolutionizing how businesses predict excess inventory and manage surplus risk. You can do the same with the previous platforms or your own advancements.
As adoption grows, expect AI to become the cornerstone of efficient, sustainable inventory management in 2025 and beyond.
At Coastal Surplus Solutions, we have seen the results first hand and can always assist you in it and sourcing surplus goods to handle inventory.
Contact us and access professional help today.
