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design
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What is PLAIO?

PLAIO stands out as a sophisticated platform that utilizes artificial intelligence to improve visual planning and refine supply chains tailored for the pharmaceutical industry, merging demand, supply, manufacturing, and purchasing functions into a unified framework that replaces fragmented spreadsheets and manual processes with real-time data, advanced forecasting techniques, and automated decision-making assistance. This innovative system aggregates demand signals from diverse SKUs, markets, and forecasts, using machine learning algorithms to produce accurate forecasts, optimized production schedules, and intelligent procurement suggestions while factoring in elements like inventory levels, lead times, safety stock needs, and supplier constraints. Moreover, the Manufacturing Planner component of PLAIO features a user-friendly, drag-and-drop interface that clarifies batch-level production, capacity constraints, and shop floor scheduling, enhanced by real-time feedback on campaigns and interactive optimization tools that adapt to evolving conditions. By consolidating these essential operations, PLAIO enables pharmaceutical companies to make well-informed decisions that significantly boost efficiency and agility in their workflows. This holistic approach not only streamlines processes but also fosters a culture of continuous improvement and responsiveness to market dynamics.

What is Intuiflow ?

Intuiflow combines established Demand Driven planning techniques with artificial intelligence and machine learning to detect demand patterns with unprecedented speed, precision, and dependability. The inventory buffers provide a quick and visual snapshot of the materials that are required, and the smart suggestions facilitate seamless material movement without depending on complicated computations. This innovative approach not only enhances efficiency but also empowers businesses to respond more rapidly to changing market needs.

Media

Media

Integrations Supported

JD Edwards EnterpriseOne
Microsoft 365
NetSuite
QAD Adaptive ERP
SAP Adaptive Server Enterprise (ASE)
SKU Science
Sage 500

Integrations Supported

JD Edwards EnterpriseOne
Microsoft 365
NetSuite
QAD Adaptive ERP
SAP Adaptive Server Enterprise (ASE)
SKU Science
Sage 500

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PLAIO

Date Founded

2021

Company Location

Iceland

Company Website

www.plaio.com

Company Facts

Organization Name

Demand Driven Technologies

Date Founded

2011

Company Location

United States

Company Website

demanddriventech.com

Categories and Features

Automatic Replenishment Systems

Counting by Exception
Customer Management
Financial Management
Inventory Management
Nice Shelf Stocks
On-order Information
Sales Anticipation
Store Order Leveling
Zero Turnover Checks

Inventory Management

Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management

MRP

Bills of Material
Compliance Management
Document Management
Forecasting
Formula Management
Inventory Management
Order Management
Process Manufacturing
Product Configurator
Production Scheduling
Quality Control
Quality Management
Quote Management
Reporting/Analytics
Resource Management
Safety Management
Supplier Management
Supply Chain Management

Production Scheduling

"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control

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