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Description
In the role of an S&OP planner, being responsive is crucial for thriving in a swiftly evolving market landscape. The Arkieva replenishment planner delivers a rapid and precise approach to multi-echelon supply chain management, guaranteeing that the appropriate quantity and variety of products are dispatched to the proper locations at optimal times. With integrated exception planning features, S&OP planners can swiftly and effectively address potential issues as they arise. The system allows for business-configurable rules and priorities, which help reduce the occurrence of late orders. Additionally, it includes built-in scenario capabilities that enable planners to explore various what-if analyses based on different demand, manufacturing, and supply scenarios. It streamlines inventory balancing across a network of multiple locations through diverse replenishment strategies. By offering a comprehensive view of projected inventory for each SKU across different time frames, the tool simplifies reporting with easy drill-down options. Furthermore, it emphasizes instances of unfulfilled demand while providing insights into the reasons behind late orders for each case, ensuring that planners are well-equipped to make informed decisions. Ultimately, this level of functionality supports enhanced decision-making and operational efficiency in supply chain management.
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.
API Access
Has API
API Access
Has API
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Integrations
No details available.
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
Arkieva
Country
United States
Website
arkieva.com/enterprise-solutions/supply-planning/replenishment-planner/
Vendor Details
Company Name
Retano Solutions
Founded
2015
Country
Israel
Website
retano.ai/solutions/forecast-and-replenishment/
Product Features
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