Social Service Marketplace

Zapidly.com: Hyperlocal Services Powered by Trusted Social Recommendations

Zapidly introduced an innovative hyperlocal services platform that uniquely leverages users' social connections to provide trusted service recommendations, blending on-demand convenience with the reliability of friend referrals.

Zapidly

2017

10 months

Zapidly

Social Service Marketplace

Success Rating

The Challenge

By 2017, consumers often felt hesitant hiring local service providers found online due to a lack of trust. While convenient, existing marketplaces couldn't replicate the confidence that comes from a personal recommendation. Zapidly aimed to bridge this trust gap by intelligently integrating social connections into the service discovery process, benefiting both consumers and quality service providers.

Market Gap

Lack of efficient platforms connecting service professionals with customers

Time Inefficiency

Traditional service booking was fragmented and time-consuming

Transparency Issues

Lack of transparency in pricing and provider qualifications

Marketplace Strategy

Prioritized speed, trust, and user experience

Quick-Commerce Inspiration

Emphasized rapid service delivery

Verification Systems

Robust verification for service providers

Streamlined Booking

Minimized friction in the booking process

Our Approach

We engineered a platform architecture that fused service discovery with social graph analysis, specifically designed to surface providers recommended by a user's friends and connections. Our team developed sophisticated, privacy-conscious algorithms to identify relevant recommendations within extended social networks. The solution enabled both public and private recommendations, featured verified provider profiles, and offered seamless booking and payment.

The Solution

Zapidly.com launched as a unique hyperlocal services marketplace driven by the power of social proof. The platform intelligently analyzed a user's social network (with permission) to highlight service providers previously hired and recommended by their friends or connections. Key features included personalized service feeds enriched by social signals, tools for sharing private/public recommendations, verified provider profiles showing social connections, and integrated scheduling/payment. This fostered a trustworthy ecosystem where quality service led to more recommendations and business.

Social Graph Analysis Algorithms

Privacy-Preserving Recommendation Techniques

Advanced Geolocation Services

Personalized Recommendation Engine

Integrated Scheduling & Booking System

Secure In-App Payment Processing