RemoteState company logoHome

Automating D2C Sales for Foldable Helmets with Hive

Enabling seamless retail and kiosk sales with inventory, AI sizing, and multi-channel fulfillment for safety-first products.

3.8k+

Downloaded Apps

14%

Revenue Rate

Summary

Client

Hive

Project Scope and Technology

Helmet sales platform for kiosks and home delivery , Integrated vendor and API fulfillment , AI-powered face recognition for automated sizing , Centralized inventory and sales dashboard , Order management and tracking, Multi-channel payment gateway , Kiosk real-time product dispensation , Secure admin panel

Team Composition

1 x Fullstack Developer, 1 x AI/ML Engineer, 1 x Operations/QA Specialist

Country

India

Industry

E-commerce

Work duration

7 months

Hive set out to streamline D2C sales of their innovative foldable helmets by digitizing inventory, sizing, and sales order fulfillment. The vision was to bring safety products closer to consumers through an omnichannel experience - allowing instant purchases at physical kiosks augmented by AI-powered head circumference measurement and direct-to-home ordering. The unified backend enabled end-to-end tracking, inventory visibility, and seamless payment, all tailored for rapid kiosk transactions and convenient home deliveries. Hive’s commitment to user experience and operational efficiency made protective gear more accessible to urban and remote buyers alike, supporting real growth in helmet adoption and safety awareness.

 

Challenges

Building an integrated platform that could process live orders from both kiosks and web channels required multi-vendor API connections and real-time inventory sync. Implementing AI-based face recognition to recommend helmet size demanded advanced ML modeling and frictionless UX for consumers. Supporting secure payment flows, reliable product tracking, and robust admin analytics required careful backend and workflow engineering. Lastly, scaling the solution for nationwide operations in variable conditions called for resilient subscription management and low-friction hardware integration at physical vending locations.

 

Process

Development started by collaborating with technical, sales, and logistics stakeholders to map order flows, sizing measurement journeys, and fulfillment triggers. Engineers built modular services for AI-powered sizing, vendor API integrations, and real-time purchase processing. Secure payment gateways and inventory logic ensured instant, error-free kiosk and web orders. The operations team deployed live dashboards for admin and support staff, while QA ran kiosk and web pilots to validate product pickup, sizing recommendations, and delivery tracking. Agile sprints and data-driven feedback from urban and rural pilots further refined multi-channel experience, driving high conversion rates and operational reliability.

 

Key Features:

  • AI-based helmet sizing for instant fit
  • Centralized inventory management
  • Real-time order tracking and multi-channel fulfillment
  • Kiosk/web retail automation
  • Secure payments and admin analytics
Case study image 1
Case study image 2
Case study image 3

Outcome

Hive’s platform drove a measurable increase in helmet sales, customer satisfaction, and operational visibility. AI sizing and instant dispensing simplified user decision-making, while central tracking and dashboard insights helped expand sales coverage and inventory management nationally.

 

2 weeks
Ideation
4 months
Development
1.5 months
Testing
1.5 months
Deployment
Design
Development
Testimonial author
RemoteState built a smart, automated platform for us that connects retail kiosks and online users, delivers instant sizing with AI, and scales operations seamlessly. Their innovation has brought safety and style close to customers everywhere.

Head of engineering, Jaron Rothkop

Want to turn your AI software vision into reality?

Hire the best Golang developers to create high-performance web apps, microservices, and backends that build a strong foundation for your business growth.

Case Study | RemoteState Case Study