Persi

High-Level Overview

Persi is a London-based fashion tech startup founded in 2024 that builds AI-powered personalization tools for e-commerce retailers. As a B2B2C consumer tech company, it serves fashion retailers by integrating a plug-and-play SaaS platform into their websites, analyzing customer wardrobe data, style preferences, and contextual needs (like occasions) to deliver highly relevant product recommendations that complete outfits or fill gaps.[1][2][3] This solves the problem of "broken" e-commerce personalization, where traditional systems rely on past clicks or generic "people like you" data, leading to irrelevant suggestions, high returns, and low satisfaction; Persi's approach achieved 90% style match accuracy, 40% click-through rates, and 100% customer satisfaction in trials.[3] In May 2025, Persi raised a twice-oversubscribed £660k pre-seed round led by Haatch and ESM Investments, with £50k reserved for female angels, fueling team expansion, SaaS launch, go-to-market efforts, and AI research with the University of Stirling.[1][2][3]

Origin Story

Persi was founded in 2024 by Olivia Parkes, a former brand marketing strategist with over a decade building global fashion and cosmetics brands.[1][2][3] Parkes' idea emerged from her frustration with flawed e-commerce personalization, honed through her first startup—which faced co-founder splits, funding hurdles, and eventual closure—where she manually styled customers via an MVP to validate demand.[2] This hands-on validation, often late-night sessions, proved the model's potential to understand shoppers as individuals via digital wardrobes.[2] Early traction came via Techscaler's Catalyst program in Scotland, which provided structure and recalibrated her ambition amid ecosystem support; a B2B pilot with rental platform Hirestreet delivered strong results, paving the way for the May 2025 funding round.[2][3]

Core Differentiators

• AI that understands context over data points: Unlike generic engines recycling past purchases, Persi builds digital wardrobes from user uploads, style definitions, and calendars to recommend complementary items for real needs, boosting relevance and sustainability.[1][2][3]
• Seamless B2B2C integration: Plug-and-play SaaS embeds directly into retailer sites, enabling stylist-level nuance without overhauling infrastructure; proven in Hirestreet pilot with 90% accuracy and high engagement.[1][3]
• Proven early metrics and human-centered design: 40% click-through, 100% satisfaction in trials; rooted in Parkes' marketing expertise for conscious, personalized shopping that reduces returns.[2][3]
• Diversity and ecosystem focus: Funding prioritized female angels; partnerships like University of Stirling enhance AI, while Techscaler support accelerated founder-led growth.[1][2][3]

(Note: A separate UK facilities management platform at persi.co.uk appears unrelated, operating in a different sector.[5])

Role in the Broader Tech Landscape

Persi rides the wave of AI-driven personalization in fashion e-commerce, where market forces like rising returns (due to poor fit/relevance), sustainability demands, and consumer preference for tailored experiences favor advanced tools.[1][2][3] Timing is ideal post-2024 AI boom, with e-commerce personalization projected to grow amid economic pressures on retailers; Persi's wardrobe-aware recommendations address gaps in legacy systems, influencing the ecosystem by enabling loyalty via value-added services, as seen in Hirestreet's adoption.[3] By partnering with academia and VCs like Haatch, it contributes to Scotland/London tech hubs, promoting diverse founders and B2B2C models that could scale to reduce fashion waste and redefine discovery.[1][2]

Quick Take & Future Outlook

Persi is poised for rapid scaling with its £660k war chest, launching full SaaS for retailers, hiring key talent like CTO Matthew Deakins, and deepening AI via Stirling research—targeting new brand partnerships amid e-commerce recovery.[1][3] Trends like multimodal AI (wardrobe images + context) and sustainable fashion will propel it, potentially capturing share in a fragmented personalization market. Its influence may evolve from pilot darling to category leader, empowering retailers with "stylist-in-your-pocket" tech that humanizes shopping; as Parkes scales her vision from manual MVP to global platform, Persi exemplifies how founder grit meets AI timing to fix fashion's personalization flaws.[2]