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EasyReplenish is a software as a service company providing predictive inventory planning and automated demand forecasting solutions for e-commerce businesses, operating from an undisclosed headquarters. The platform utilizes machine learning algorithms to analyze over 20 distinct data points, including advertising signals, marketplace demand fluctuations, and seasonal sales trends. By processing these metrics, the system generates optimized purchase orders designed to improve capital efficiency and streamline vendor management operations. The company primarily targets apparel and fashion accessory brands located in India and the United States that manage more than 500 stock keeping units and generate between $1 million and $50 million in annual revenue. The enterprise has secured financial backing from early stage venture capital firm 100X.VC to support its software development. While the exact founding year remains unlisted, EasyReplenish was established by co-founders Dhruv Srivastava and Varun Ravula.
EasyReplenish has raised $150K across 1 funding round.
EasyReplenish has raised $150K in total across 1 funding round.
EasyReplenish has raised $150K across 1 funding round. Most recently, it raised $150K Seed in May 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2024 | $150K Seed | — | 100X.VC, Vikas Gupta | Announced |
EasyReplenish has raised $150K in total across 1 funding round.
EasyReplenish's investors include 100X.VC, Vikas Gupta.
EasyReplenish is an enterprise tech startup founded in 2022 that builds an automated inventory optimization platform for e-commerce fashion brands, focusing on predictive planning, vendor management, and purchase order automation.[1][2][3][4] It serves mid-market apparel and accessories businesses in India and the US with $1-50 million in annual revenue and 500+ SKUs, solving stockouts (up to 15% revenue loss from bestseller unavailability), dead inventory, and manual spreadsheet errors through AI-driven demand forecasting using 20+ data points like ad signals and seasonal trends.[1][3] The platform integrates with ERPs (e.g., ERPNext), e-commerce tools (Shopify, WooCommerce), and marketplaces (Amazon, Myntra), enabling bestseller prioritization, slow-mover phase-outs, and margin optimization across channels—clients report 21% stockout reductions and 70% planning time cuts.[3] Backed by $149K+ in pre-seed funding from investors like 100X.VC (last round June 2024), it targets a $5B market opportunity with 7 employees and growing traction.[1][2]
EasyReplenish was founded in 2022 by Dhruv Srivastava (CEO) and Varun Ravula (COO), both IIT Dhanbad engineering graduates (2012 and 2013).[2][4] Srivastava, as Entrepreneur in Residence at fashion e-commerce FableStreet, managed inventory for 4 production cycles across 4,000+ styles (24K+ SKUs) and built a custom mini-ERP, gaining deep insights into fashion supply chain pain points.[4] Ravula, previously an Inventory Planner at B2B e-commerce giant Udaan, handled 60K SKUs annually and developed in-house replenishment software, honing expertise in large-scale planning.[4] The idea emerged from their hands-on experience with manual, error-prone processes causing revenue leaks and capital inefficiencies in e-commerce fashion, leading to a pivot from initial household subscription models to specialized B2B inventory tools with early investor validation from 100X.VC.[1][2]
(Note: One source lists a 2013 founding, but this conflicts with primary company data and investor profiles indicating 2022; the later date aligns with funding and team bios.[2][4][5])
EasyReplenish rides the e-commerce supply chain digitization wave, amplified by post-pandemic volatility in fashion (e.g., rapid trends, ad-driven launches), where manual planning fails amid 500+ SKUs and multi-channel sales.[1][3] Timing is ideal amid India's $5B mid-market opportunity and US expansion, fueled by rising D2C shifts, influencer marketing, and AI adoption for inventory—reducing 15% revenue risks from stockouts.[1] Market forces like labor shortages for planning and ERP fragmentation favor its no-code, predictive edge over legacy systems, influencing the ecosystem by setting data-driven standards for fashion brands (e.g., integrating with Unicommerce/ShipBob) and enabling profitability in a high-return sector.[1][3] As part of 100X.VC's portfolio, it accelerates India's enterprise SaaS momentum in retail tech.[1]
EasyReplenish is poised for scale through product-led growth in fashion e-commerce, with next steps likely including US market penetration, deeper AI for hyper-local forecasting, and enterprise upsells beyond mid-market.[1][2] Trends like omnichannel commerce, sustainable inventory (e.g., dead stock repurposing), and generative AI for vendor negotiations will shape its path, potentially expanding to adjacent verticals like beauty or consumer goods.[1][3] Its influence could evolve from niche optimizer to industry platform, benchmarking resilient chains and drawing Series A interest amid $149K funding—ultimately transforming manual chaos into predictive profits for brands worldwide, as hinted in its early traction.[1][2][3]
