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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Streamlined production planning with REMIRA APS enhances your planning workflow all the way to the intricate details, ensuring maximum capacity utilization and timely completion consistently. The advanced forecasting engine allows you to anticipate production needs ahead of customer orders, which is crucial in today's manufacturing landscape where companies face significant cost and time constraints. Furthermore, they are required to maintain a high level of reliability and flexibility to stand out in the market. REMIRA APS seamlessly integrates these diverse needs into a single application. Utilizing sophisticated algorithms, this system centralizes all planning data, providing a competitive edge necessary to thrive in challenging markets. As a multifaceted simulation tool, APS effectively merges both rough and detailed planning, optimizing processes for procurement, production, and replenishment. Notably, it is adaptable for various production types, ensuring its applicability across different industries and enhancing overall operational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Odoo

Integrations

Odoo

Pricing Details

$79/month
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

Niyu Labs

Website

niyulabs.com

Vendor Details

Company Name

REMIRA

Country

Germany

Website

www.remira.com/en/products/manufacturing/aps

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

APS

Automated Scheduling
Capacity Planning
Change Management
Constraint Management
Demand Planning
KPIs
MRP
Order Management
Production Scheduling
Quality Management
What-if Analysis

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