Eazyfit is building a fashion-tech marketplace that matches customers with verified tailors, using escrow-style payments to reduce “what I ordered vs what I got.”
Eazyfit is a Nigeria-based fashion-tech app connecting customers to verified tailors and designers. It aims to reduce outfit mismatches and late delivery, two common risks when outsourcing sewing.
Eazyfit is positioning itself as a marketplace for made-to-measure clothing, where customers post the style they want and vetted designers bid to take the job. Eazyfit is the primary keyword here because the platform is the product trying to solve the “what I ordered versus what I got” problem.
Founder Olamide Adeyi grew up in a family of fashion designers in Kwara State. He says the idea became personal when he had to outsource clothes during peak seasons and struggled to find reliable tailors.
On the platform, customers upload a style reference, then compare designer offers by price, location, and portfolio. Eazyfit says it verifies designers based on the outfit type they claim to specialise in, like traditional wear for festive periods.
Eazyfit also uses an escrow-like payment flow, which means money is held back until a job is delivered. Adeyi said customers pay 100% upfront, designers receive 70% upfront, and 30% is held until delivery.
The startup is also working on AI-based measurement capture, meaning software would estimate body measurements to reduce fitting errors. Eazyfit says this feature earned it a ₦5 million grant at the Ilorin Innovation Hub.
Adeyi claimed the team has already delivered 60 outfits manually, including to diaspora customers, and generated ₦3 million in revenue.
Trust is the biggest bottleneck in custom fashion marketplaces. Unlike buying ready-to-wear, tailoring involves fabric handoff, measurements, and interpretation of a style reference, where small errors become expensive.
If Eazyfit can make verification and escrow normal for tailoring, it could help designers get more consistent demand and help customers take remote tailoring orders with less risk. That matters in markets where events, festivals, and weddings create seasonal spikes, and the best tailors get booked out early.
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