
Enmovil
Operational Efficiency with Business Intelligence and Analytics.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $6.0m | Series A | |
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 68 % | 109 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Enmovil Solutions Private Limited, established in 2015, is a logistics technology company based in Hyderabad, India, that provides a multi-modal supply chain decision-making and management platform. The company was founded by Ravi Bulusu, Nanda Kishore, and Venkat Moganty, who bring extensive experience from the technology and enterprise solutions sectors. Ravi Bulusu, the CEO, has a background in SoC architecture and previously held leadership positions at NVIDIA. Nanda Kishore, the COO, has over 20 years of experience in cloud computing and machine learning, while CTO Venkat Moganty is a specialist in embedded systems and system software architecture, also with experience at NVIDIA.
The company targets manufacturers, retailers, and distributors, with a notable focus on Original Equipment Manufacturer (OEM) logistics. Its client roster includes major corporations like Hindustan Petroleum (HPCL), Maruti Suzuki, and Hero Motors. Enmovil's business model is centered on its AI and SaaS-based platform that combines indigenously built hardware with advanced software to enhance operational efficiency for its clients. Revenue is generated by providing these technology solutions that help businesses automate and optimize their supply chain processes from the warehouse to the dealer.
Enmovil's core offering is a suite of modular products designed to manage and automate freight operations. This includes 'Optipred' for AI-driven supply chain and demand forecasting; 'Optirun' for dispatch scheduling and optimization; 'Autometrics' for real-time, multi-modal, SKU-level visibility and monitoring; and 'Intelli B' for automated freight verification and billing. The platform leverages machine learning and IoT to provide features like dynamic route optimization, load distribution, real-time tracking, and predictive ETAs. By integrating with existing ERP and CRM systems, Enmovil aims to reduce logistics costs, improve fleet utilization, and increase overall supply chain efficiency, with reported results of over 10% cost reduction and a 15% increase in fleet utilization for clients.
Keywords: supply chain management, logistics technology, multi-modal logistics, AI in logistics, SaaS platform, freight management, dispatch optimization, inventory forecasting, real-time visibility, fleet management, OEM logistics, supply chain analytics, automated freight verification, yard management, transportation planning, connected assets, IoT logistics, Ravi Bulusu, Nanda Kishore, Venkat Moganty