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YantraLive

YantraLive offers a B2B platform that utilizes data analytics and machine learning to optimize heavy equipment ownership, including buying, selling, and fleet management. The platform addresses inefficiencies in equipment lifecycle management by providing real-time access to parts, maintenance tracking, and automated workflows, enabling users to maximize productivity and reduce operational downtime.

Bengaluru, IndiaFounded 20181162K+ followers
Updated 20 months ago

Funding

$946.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

GS
Funding rounds are not available yet.

Founders

Product

Problem

Heavy equipment owners and operators face challenges in efficiently managing the lifecycle of their assets, including procurement, maintenance, and disposal, leading to increased operational costs and reduced productivity. Lack of real-time data and fragmented processes hinder effective decision-making regarding equipment utilization, parts sourcing, and maintenance scheduling.

Solution

YantraLive offers a B2B platform that leverages data analytics and machine learning to streamline heavy equipment ownership. The HEOS (Heavy Equipment Ownership Solution) platform provides a comprehensive suite of tools for buying, selling, and managing heavy equipment fleets. By offering real-time access to parts, maintenance tracking, and automated workflows, YantraLive enables users to optimize equipment lifecycles, maximize productivity, and minimize downtime. The platform connects owners, vendors, buyers, and users, facilitating efficient resource deployment and informed decision-making throughout the equipment lifecycle.

Target Audience

YantraLive primarily targets infrastructure firms, contractors, workshop operators, retailers, and fleet owners involved in the heavy equipment industry.

Features

  • Digital diary for managing machines, tracking fuel bills, daily logs, maintenance, and expenses.
  • Self-learning digital catalog to recommend OEM, OES, and aftermarket parts.
  • Cloud inventory with real-time access to vendor pricing and stock across locations.
  • Automated asset flow to streamline the equipment buying and selling process.
  • Fleet optimization using machine learning applied to IoT, CANBUS, and business metrics data.
  • Mobile app for on-the-go access and management.
This profile is AI-generated and may contain inaccuracies.