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What is Translytics?

TranslytiX SaaS is a comprehensive software solution designed to fulfill all the supply chain requirements of an organization, encompassing aspects such as Demand Forecasting, Inventory Optimization, and Supply Chain Diagnostics. Among its features is a Demand Forecasting module that utilizes fully automated forecasting engines, improving forecast accuracy by an average of 5-12%. Additionally, the system includes exception planning for forecasts that lack precision and offers a forecast override function, allowing users to incorporate external inputs like bottom-up predictions and seasonal fluctuations. Furthermore, it provides extensive inventory visibility, addressing issues of excess and shortages while facilitating accurate inventory forecasts for future planning. The solution also emphasizes a proactive approach to Inventory Risk Assessment, offering guidance on MTO/MTS SKU categorization and monitoring supplier performance to enhance optimization. Users are equipped with actionable recommendations and straightforward root cause analysis tools, making the product akin to a Digital Brain that overlays your Data System, delivering valuable insights and enhancing overall supply chain efficiency. By integrating these capabilities, TranslytiX SaaS aims to empower organizations to streamline their supply chain processes effectively.

What is Thermostock?

Thermostock effortlessly connects with all ERP systems, automatically identifying and enhancing low-volume SKUs, which enables procurement teams to focus on items with consistent demand, particularly categories A and B. The process of SKU rationalization becomes easier through automation, as Thermostock assesses recent sales data for all SKUs in stock, marking those that have not sold in the last year as either nonstock or special orders, thus effectively curbing unnecessary purchases and minimizing dead stock. You can set inventory policies that reflect your unique goals, guaranteeing that your inventory management strategies are specifically designed to achieve your objectives. Additionally, Thermostock automates the determination of optimal Min/Max levels by scrutinizing the latest sales trends for each SKU and integrating those suggestions back into your ERP system. To combat overstocking challenges, Thermostock recommends a monthly review of surplus low-volume items, redistributing them to areas where demand still exists. By leveraging AI, Thermostock consistently evolves and fine-tunes its recommendations, ensuring that your inventory optimization strategies stay relevant amidst fluctuating sales patterns and market conditions. Consequently, businesses can benefit from improved efficiency and lower expenses, leading to a more streamlined supply chain and enhanced operational success. This innovative approach not only maximizes resource utilization but also fosters a proactive inventory management environment that can adapt to future challenges.

Media

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Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$600/user/month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Windows
Mac
Chromebook

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Translytics

Date Founded

2021

Company Location

India

Company Website

www.translytics.io

Company Facts

Organization Name

Thrive Technologies

Date Founded

2001

Company Location

United States

Company Website

thrivetech.com

Categories and Features

Root Cause Analysis

Not specified

Supply Chain Planning

Not specified

Categories and Features

Supply Chain Planning

Not specified

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