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Average Ratings 0 Ratings
Description
Reduce the risks of overstock and stock-outs to enhance customer satisfaction while simultaneously decreasing costs associated with excess inventory.
Easily obtain visibility throughout your supply chain without the need for replatforming, hefty upfront licensing fees, or binding commitments.
Leverage machine learning (ML) to make better-informed decisions in your supply chain by utilizing actionable insights powered by advanced analytics.
Gain an understanding of the overall condition of your supply chain network, complemented by ML-driven insights regarding potential inventory issues, including both excessive stock and stock shortages.
Rapidly deploy AWS Supply Chain utilizing ML models that can comprehend, extract, and convert diverse data sources into a cohesive data lake.
Examine suggested actions that can help alleviate risks, and utilize integrated contextual collaboration features to expedite the agreement and implementation of decisions.
Improve the accuracy of demand forecasts to minimize stock shortages, while also enhancing demand planning precision with ML models that progressively refine their predictions over time, leading to better inventory management.
This comprehensive approach not only streamlines operations but also fosters a more responsive and resilient supply chain.
Description
PharmaNET Supply Chain Management by Sarjen Systems Pvt. Ltd. is an AI-powered, end-to-end supply chain platform designed to bring intelligence, visibility, and control to complex operations. It seamlessly connects demand planning, procurement, inventory management, sales, distribution, and ERP systems into a single, unified ecosystem. With real-time dashboards and centralized data, businesses gain complete transparency across every stage of the supply chain, enabling faster coordination and smarter execution.What truly sets PharmaNET apart is its strong focus on Artificial Intelligence. The platform uses advanced algorithms to analyze historical sales data, seasonal trends, and market behavior to generate highly accurate demand forecasts. Its predictive analytics engine recommends optimal inventory levels, helping organizations prevent stockouts while reducing excess inventory. AI-driven automation streamlines routine tasks such as order processing, replenishment planning, and exception handling, minimizing manual errors and improving operational efficiency.The system also delivers intelligent alerts and risk indicators, allowing teams to proactively respond to disruptions, delays, or unexpected demand shifts. Over time, its machine learning capabilities continuously refine forecasts and recommendations as more data becomes available. By combining automation, predictive intelligence, and actionable insights, PharmaNET empowers businesses to build a more agile, responsive, and cost-effective supply chain that adapts confidently to changing market dynamics.
API Access
Has API
API Access
Has API
Integrations
Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$300 per month
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-supply-chain/
Vendor Details
Company Name
Sarjen Systems Pvt Ltd
Founded
1998
Country
India
Website
pharmanet.sarjen.com
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
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