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What is Naigo?

Naigo is an AI-powered procurement platform tailored for teams managing supplier contracts, sourcing activities, and commercial negotiations. This cutting-edge solution employs AI agents to pinpoint and extract vital components from contracts, including clauses, amendments, deadlines, and notice periods, ensuring that these insights are linked back to their original documents. Users can seamlessly generate and oversee Requests for Proposals (RFPs), guiding the process from specifications to bid assessments, with suppliers able to respond through a secure link, eliminating the need for account creation. Additionally, Naigo actively tracks renewal dates and facilitates comparisons between new supplier proposals and current contract conditions. It further supports negotiation preparations and follow-ups by offering critical contract-related information, red lines, and detailed quantitative evaluations. A streamlined dashboard integrates RFP and negotiation tasks, monitors deadlines, and tracks savings, allowing buyers to easily review and confirm the AI-generated outputs. All information is securely stored in France, highlighting the platform's dedication to data privacy and regulatory compliance. Moreover, Naigo empowers procurement teams with essential tools that boost efficiency and aid in making knowledgeable decisions throughout the entire sourcing journey, ultimately enhancing their strategic procurement capabilities.

What is Mercanis?

The Mercanis Procurement Suite is a comprehensive, cloud-based solution designed to elevate procurement teams from basic transactional operations to a more strategic and integrated approach by combining multiple functions such as sourcing, supplier management, and contract oversight within a single, intuitive interface. This platform enhances efficiency by automating RFx processes, offering immediate insights into sourcing activities and pricing trends, and enabling the delegation of less critical tasks while maintaining compliance with corporate policies using a no-code rule and approval system. It ensures thorough supplier lifecycle management, encompassing everything from initial onboarding and qualification to performance assessment and potential termination, employing customizable criteria and visual analytics. Furthermore, contract management becomes streamlined with a centralized database, AI-driven analytical tools, and effective negotiation processes. Users are also equipped to analyze spending habits, optimize budget allocations, and identify opportunities for savings through accessible dashboards and robust reporting features. Ultimately, this empowers teams to make well-informed financial choices, enhance cost efficiency, and adapt to changing market dynamics effectively. This holistic suite not only simplifies procurement processes but also supports organizations in achieving their long-term strategic goals.

Media

Media

Integrations Supported

Microsoft Dynamics 365 Business Central
NetSuite
SAP Ariba

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Naigo

Company Location

France

Company Website

naigo.ai

Company Facts

Organization Name

Mercanis

Date Founded

2020

Company Location

Germany

Company Website

www.mercanis.com/product-page-overview

Categories and Features

Procurement

Asset Management
Bid Management
Contract Management
Requisitions & Approvals
Sourcing Management
Spend Management
Supplier Management

Categories and Features

AI Procurement

Not specified

Contract Management

Not specified

Procurement

Not specified

Sourcing

Not specified

Vendor Management

Not specified

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