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Average Ratings 0 Ratings
Description
Niyu Smart Stock is an advanced inventory management and replenishment tool designed specifically for businesses utilizing Odoo. It effectively integrates historical demand data, current inventory levels, incoming orders, transfer amounts, lead times, warehouse capacities, and planning guidelines to formulate a comprehensive action plan for each product per warehouse.
Rather than simply providing forecasts, it proactively informs teams about critical areas that require focus, indicates items that can be transferred from one warehouse to another, suggests what needs to be purchased, and specifies the timing for these actions. Each suggestion is substantiated by data such as Demand History, out-of-stock durations, forecast specifics, anticipated inventory coverage, safety stock levels, minimum order quantities (MOQ), order multiples, and lead times.
Additionally, users have the capability to initiate internal transfers and create draft Requests for Quotations (RFQs) directly within Odoo, organize purchase batches, oversee stock across multiple warehouses, factor in demand from Point of Sale (POS) systems, manage replacements for obsolete products, apply various exclusions, and monitor the implementation process. Smart Stock empowers distributors, retailers, and wholesalers to move away from traditional spreadsheet-based planning, enabling them to adopt a more efficient and repeatable workflow seamlessly integrated within Odoo, ultimately enhancing their operational effectiveness.
Description
ALT-C Systems presents its premier software solution, the TimeTrends Forecast Warehouse, which offers an easy-to-use and technologically advanced forecasting mechanism designed to meet the distinct requirements of various businesses. TimeTrends allows you to seamlessly merge qualitative forecasts sourced from the Internet with automatically generated statistical predictions. The software efficiently imports demand history and other relevant data from your MRP/ERP systems without hassle. Users can conduct forecasts in a top-down or bottom-up manner, utilizing an unlimited number of hierarchical perspectives, each customizable to multiple levels. The platform facilitates streamlined management of the forecasting process by enabling the configuration of exceptions on a user-by-product basis, ensuring that planners concentrate on the elements crucial to enhancing your company's profitability. This solution serves as a thorough approach to Forecasting and Demand Management, enabling interaction with TimeTrends from any online connection. Furthermore, it empowers users to address supply chain challenges effectively through Distribution Requirements Planning (DRP). With TimeTrends, businesses can enhance their forecasting accuracy and make informed decisions that drive success.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Odoo
Pricing Details
$79/month
Free Trial
Free Version
Pricing Details
$5000.00/one-time
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
Niyu Labs
Website
niyulabs.com
Vendor Details
Company Name
ALT-C Systems
Founded
1992
Country
Canada
Website
www.alt-c.com
Product Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting
Product Features
Production Scheduling
"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control