OFLO: AI for Frontline

Cloud-based collaboration for teams

Role

Product Commercialisation

Industry

AI Wearable

Duration

2 years

Multi-platform UI
Multi-platform UI
Multi-platform UI

Summary

OFLO was designed to address the inefficiencies of frontline team collaboration by combining voice and AI in a cloud-enabled, hardware-augmented solution. The product pivoted from its original purpose to target underserved industries and redefine operational efficiency for teams. This solution replaced traditional communication tools like walkie-talkies, unlocking revenue opportunities and improving team connectivity and satisfaction.

Problem

Frontline teams in hospitality, logistics, and aviation faced inefficiencies from outdated communication tools, hindering real-time collaboration between supervisors and ground staff.

Traditional devices like walkie-talkies and mobile phones were limited to on-premise interactions, requiring frequent device switching, while lost data and lack of analytics stymied decision-making.

By pivoting OFLO to target these underserved teams, we seized the opportunity to repurpose technology for high-impact use cases, combining voice and AI to enhance operational efficiency, address critical data loss, and bridge remote management gaps, particularly during the COVID-19 pandemic.

Approach

To address inefficiencies in frontline communication, we conducted market research targeting underserved industries like hospitality, logistics, and aviation, interviewing stakeholders to uncover pain points in real-time communication and data utilization while analyzing competitors like walkie-talkies and team-based mobile apps.

We pivoted OFLO to develop a screen-free, AI-powered wearable device, creating a roadmap prioritizing voice-to-text transcription and rapid time-to-value for data-driven decisions, seamless hardware integration for a “JARVIS-like” experience, and robust privacy and network stability. Collaborating with engineering and design teams ensured alignment with user needs, while our commercialization strategy included go-to-market planning, pricing models, and stakeholder alignment.

Impact

OFLO delivered transformative impact across industries, with successful deployments at major clients like Marriott Group, Starbucks, Peninsula Hotel, and W Hotel, alongside proof-of-concept pilots with Singapore Airlines, New World, and Kerry Logistics.

It unlocked multimillion-dollar revenue through enterprise contracts, achieving strong user adoption: 90% of managers felt more connected to their teams, and 92% of frontline workers preferred OFLO over traditional walkie-talkies. Enabled effective remote supervision for multi-venue management.

Its innovative AI-powered solution earned recognition in TechCrunch, highlighting its impact on frontline communication.

Key Learning

OFLO tackled network stability by optimizing cloud infrastructure and integrating edge computing for reliable offline functionality. Privacy concerns were addressed through end-to-end encryption and GDPR compliance, ensuring robust data security.

To overcome initial resistance from users accustomed to traditional tools, tailored training programs and dedicated user support facilitated smooth onboarding and adoption. A key learning was the importance of early user involvement and iterative improvements to drive adoption and achieve product-market fit.

Summary

OFLO was designed to address the inefficiencies of frontline team collaboration by combining voice and AI in a cloud-enabled, hardware-augmented solution. The product pivoted from its original purpose to target underserved industries and redefine operational efficiency for teams. This solution replaced traditional communication tools like walkie-talkies, unlocking revenue opportunities and improving team connectivity and satisfaction.

Problem

Frontline teams in hospitality, logistics, and aviation faced inefficiencies from outdated communication tools, hindering real-time collaboration between supervisors and ground staff.

Traditional devices like walkie-talkies and mobile phones were limited to on-premise interactions, requiring frequent device switching, while lost data and lack of analytics stymied decision-making.

By pivoting OFLO to target these underserved teams, we seized the opportunity to repurpose technology for high-impact use cases, combining voice and AI to enhance operational efficiency, address critical data loss, and bridge remote management gaps, particularly during the COVID-19 pandemic.

Approach

To address inefficiencies in frontline communication, we conducted market research targeting underserved industries like hospitality, logistics, and aviation, interviewing stakeholders to uncover pain points in real-time communication and data utilization while analyzing competitors like walkie-talkies and team-based mobile apps.

We pivoted OFLO to develop a screen-free, AI-powered wearable device, creating a roadmap prioritizing voice-to-text transcription and rapid time-to-value for data-driven decisions, seamless hardware integration for a “JARVIS-like” experience, and robust privacy and network stability. Collaborating with engineering and design teams ensured alignment with user needs, while our commercialization strategy included go-to-market planning, pricing models, and stakeholder alignment.

Impact

OFLO delivered transformative impact across industries, with successful deployments at major clients like Marriott Group, Starbucks, Peninsula Hotel, and W Hotel, alongside proof-of-concept pilots with Singapore Airlines, New World, and Kerry Logistics.

It unlocked multimillion-dollar revenue through enterprise contracts, achieving strong user adoption: 90% of managers felt more connected to their teams, and 92% of frontline workers preferred OFLO over traditional walkie-talkies. Enabled effective remote supervision for multi-venue management.

Its innovative AI-powered solution earned recognition in TechCrunch, highlighting its impact on frontline communication.

Key Learning

OFLO tackled network stability by optimizing cloud infrastructure and integrating edge computing for reliable offline functionality. Privacy concerns were addressed through end-to-end encryption and GDPR compliance, ensuring robust data security.

To overcome initial resistance from users accustomed to traditional tools, tailored training programs and dedicated user support facilitated smooth onboarding and adoption. A key learning was the importance of early user involvement and iterative improvements to drive adoption and achieve product-market fit.

Other projects

Copyright 2025 by Emile Chan

Copyright 2025 by Emile Chan

Copyright 2025 by Emile Chan