Retano SCM 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.

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Company Details

Company:
Retano Solutions
Year Founded:
2015
Headquarters:
Israel
Website:
retano.ai/solutions/forecast-and-replenishment/

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Retano SCM Features and Options

Supply Chain Management Software

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

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