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Description
Retano SCM is a cloud-based supply chain optimization platform built specifically for retailers seeking to improve inventory management and replenishment processes through artificial intelligence. The platform automates key supply chain activities, including data cleansing, demand forecasting, stock optimization, order calculation, and replenishment planning. Using advanced machine learning algorithms, Retano SCM forecasts demand by considering seasonality, promotions, holidays, trends, customer behavior, stockouts, and other influencing factors. The system automatically generates replenishment orders while accounting for supply chain constraints such as lead times, pack sizes, shelf life, and distribution requirements. Its AI assistant, Leonardo, helps users understand how replenishment decisions are made by providing detailed explanations and actionable recommendations. Retano SCM supports retailers of all sizes and integrates with existing ERP, warehouse, and store management systems without requiring significant infrastructure changes. The platform helps improve on-shelf availability, reduce inventory waste, optimize working capital, and minimize manual workload. It also supports inventory allocation, safety stock management, and replenishment coordination across stores and distribution centers. Retano SCM enables retailers to achieve more efficient, accurate, and scalable supply chain operations through automation and predictive intelligence.
Description
Demand and Inventory Planning are fundamental components of conventional Supply Chain Management (SCM). Historically reliant on human intervention, Demand Planning often leads to forecasts that are both inaccurate and outdated, even when utilizing sophisticated statistical and machine learning methods. Similarly, inventory management, which employs Operations-Research-based optimization strategies, can frequently misconfigure inventory parameters, resulting in costly delays and magnified errors. By analyzing extensive correlations among historical supply chain demand, inventory levels, and supply metrics, AP&I can generate hundreds of millions of viable supply chain scenarios. This adaptive approach enables continual enhancements in replenishment decisions, ultimately fostering significant competitive advantages across the entire supply chain landscape. Such innovations not only streamline operations but also enhance responsiveness to market changes.
API Access
Has API
API Access
Has API
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Integrations
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Integrations
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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
Retano Solutions
Founded
2015
Country
Israel
Website
retano.ai/solutions/forecast-and-replenishment/
Vendor Details
Company Name
Seeloz
Founded
2013
Country
United States
Website
www.seeloz.com/solutions
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
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