The local shopping ecosystem suffered from a few drawbacks:
Most small businesses were too poor to generate a robust online presence. They mostly depended on word-of-mouth or random footfalls in the shop, limiting their customer potential.
Pen-and-paper tracking or outdated software resulted in incessant order errors, delayed fulfillment, and poor inventory management. A local survey showed that 65% of businesses had processing errors for orders at least once a week.
Consumers could not easily find local stores online as there was no one-stop shop. This lack of convenience made customers re-orient towards the giant, established e-commerce websites, reinforcing the edge of local businesses.
Scalability Problems: Solutions already exist developed only for static, small-scale applications that cannot handle dynamic location-based services. Because of increased demand, system outages and slow responses became common problems, further worsening user satisfaction and business executions.
Make it easy for customers to locate and buy from local stores using advanced geolocation technologies in combination with a user-friendly search interface. Thus, it will also be accessible to users.
Arm store owners with a fully featured set of tools, which include customizable templates for digital storefronts, real-time inventory management, and analytics dashboards that help businesses manage their operations effectively and engage their customers better.
Scalable central admin system capable of monitoring entire platform functionality-audited to automate order and fraud detection along with real-time performance monitoring. Thereby enhancing both efficiency and overall administrative overhead.
Improve the seamless feel of the secure shopping journey with user-friendly interfaces leading to fast-loaded pages, offering secure payment processing. Personalization and responsive web design make the overall experience more perfect.
Done in an iterative cycle to maintain flexibility and on-time feature delivery.
Feedback was very regular and used to shape the user-friendly interfaces and workflows.
Thorough tests ensured reliability and functionality.
Automated pipelines enabled fast deployment, and there was less disruption time.
Over 5,000 users were recorded within three months. The platform onboarded 200+ local stores within the same period.
The participating stores recorded a 40% revenue increase.
Improved order processing times to nearly 30% while reducing the admin workload to 40%.
Achieved a satisfaction rate of 90%. Repeat customers accounted for 60%.
Managed to go 15% above projected revenue in the first quarter, based on a commission-based model.