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Description
Reduce the risks of overstock and stock-outs to enhance customer satisfaction while simultaneously decreasing costs associated with excess inventory.
Easily obtain visibility throughout your supply chain without the need for replatforming, hefty upfront licensing fees, or binding commitments.
Leverage machine learning (ML) to make better-informed decisions in your supply chain by utilizing actionable insights powered by advanced analytics.
Gain an understanding of the overall condition of your supply chain network, complemented by ML-driven insights regarding potential inventory issues, including both excessive stock and stock shortages.
Rapidly deploy AWS Supply Chain utilizing ML models that can comprehend, extract, and convert diverse data sources into a cohesive data lake.
Examine suggested actions that can help alleviate risks, and utilize integrated contextual collaboration features to expedite the agreement and implementation of decisions.
Improve the accuracy of demand forecasts to minimize stock shortages, while also enhancing demand planning precision with ML models that progressively refine their predictions over time, leading to better inventory management.
This comprehensive approach not only streamlines operations but also fosters a more responsive and resilient supply chain.
Description
Thermostock seamlessly integrates with all ERP systems, automatically pinpointing and optimizing low-volume SKUs, which allows procurement teams to prioritize items with predictable demand, such as A and B categories.
SKU rationalization is simplified through automation, as Thermostock reviews recent sales data for all stocked SKUs and flags those that haven't sold in the past year as nonstock or special orders, effectively preventing unnecessary purchases and reducing dead stock.
You have the ability to establish inventory policies that align with your specific objectives, ensuring that your inventory management practices are tailored to meet your goals.
Furthermore, Thermostock automates the calculation of optimal Min/Max levels by analyzing the most recent sales characteristics for each SKU and feeding those recommendations back into your ERP system.
To address overstocking issues, Thermostock suggests a monthly reassessment of low-volume items that are in surplus, redistributing them to locations where they are still in demand.
By harnessing the power of AI, Thermostock continuously adapts and refines its recommendations, ensuring that your inventory optimization remains effective even amid changing sales trends and market dynamics.
As a result, businesses can enjoy enhanced efficiency and reduced costs, ultimately contributing to a more streamlined supply chain.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-supply-chain/
Vendor Details
Company Name
Thrive Technologies
Founded
2001
Country
United States
Website
thrivetech.com
Product Features
Supply Chain Management
Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management