As technology continues to reshape businesses and consumer experiences, Artificial Intelligence is emerging as a powerful force in simplifying complex processes, enabling smarter decision-making and delivering greater personalisation. At the forefront of this transformation is Emmvee Technologies Private Limited (ETPL), which is focused on building connected enterprise technology designed around real-world operational needs.
Taking this vision into the travel sector, ETPL’s Roamiyo aims to create a more intelligent, seamless and traveller-centric experience—from discovering destinations and planning itineraries to adapting plans in real time. In this exclusive interaction, Sumanth Donthi, Director, Emmvee Technologies Private Limited, shares his perspective on the evolution of enterprise technology, the growing role of AI, and how Roamiyo envisions making travel more personalised, connected and effortless.
What inspired you to establish Emmvee Technologies, and what key gaps in business technology did you aim to address through ETPL?
Emmvee Technologies was born from a challenge we had experienced ourselves. As businesses grow, they adopt more technology, but that does not always make them easier to operate. Different functions begin using different systems, information becomes fragmented, and employees often spend more time managing software than using it to make better decisions.
That made us question whether the problem was really a lack of technology. In many cases, the technology already existed – it simply did not fit the way the organisation actually worked. We established ETPL to bridge that gap. Our objective is to build enterprise technology around real operational requirements rather than expecting businesses to reorganise themselves around rigid software. Because our thinking has been shaped by manufacturing and other operationally intensive environments, we understand that technology must work reliably at scale, connect different parts of an organisation and remain simple for the people using it every day.
At its core, ETPL is built on a straightforward belief: technology has not failed businesses; complexity has. Our role is to remove that complexity and make technology genuinely useful.
ETPL is developing ERP and Customer Resource Platform solutions to simplify business operations. How can technology help organizations improve efficiency without making processes more complex for users?
The true measure of enterprise technology is not how many features it offers, but how naturally it fits into everyday work.
A system should reduce the number of decisions, follow-ups and repetitive actions required from an employee. It should connect information across departments, present each user with what is relevant to their role and make the next action clear. If people need extensive training simply to complete a routine task, the technology has probably transferred complexity to the user instead of solving it.
At ETPL, we approach ERP and Customer Resource Platform development by first understanding how work actually moves through an organisation – from the shop floor and logistics teams to sales, customer service and management. Technology can then create a connected flow in which information is entered once, updated across systems and made available to the right person at the right time.
The best enterprise technology should almost disappear into the workflow. Employees should experience fewer manual handovers and less duplication, while leaders gain better visibility and faster decision-making. Efficiency comes not from adding more software, but from creating a simpler and more connected way of working.
AI is rapidly transforming businesses across industries. How do you see Artificial Intelligence changing decision-making, automation, customer engagement, and enterprise technology in the coming years?
AI will gradually move from being a separate tool to becoming an intelligence layer across the organisation. In decision-making, its most important contribution will be reducing blind spots. Businesses already generate enormous amounts of data, but much of it remains scattered across systems or reaches decision-makers too late. AI can identify patterns, highlight exceptions and bring attention to issues before they become larger problems. The final judgement will continue to belong to people, but it can be supported by faster and more relevant intelligence.
Automation will also evolve beyond repetitive back-office tasks. AI will increasingly help coordinate workflows across functions – identifying a delay, understanding its likely impact, notifying the relevant teams and recommending the next action.
Customer engagement will become more contextual. Instead of every customer receiving the same journey, businesses will be able to understand intent, history and immediate requirements and respond accordingly. However, adoption must remain purposeful. The objective should not be to insert AI into every process. It should be to use AI where it can improve clarity, responsiveness and outcomes while maintaining human accountability, strong data governance and customer trust.
With Roamiyo, you are applying AI to travel. How do you envision AI changing the way travellers discover destinations, plan trips, and experience travel in a more personalized and seamless way?
Travel is personal, but most digital travel experiences still begin by showing everyone broadly the same options. AI can change that by understanding not only where someone wants to go, but how they like to travel. Two people visiting the same destination may want completely different experiences. One may prefer a tightly planned itinerary, while another wants time to explore spontaneously. Preferences may also change depending on whether the person is travelling alone, with friends or with family.
AI can help travellers move from endless browsing to more meaningful choices. It can make discovery more relevant, bring scattered recommendations together and help build an itinerary around the traveller’s interests, budget, pace and circumstances.
Its role should continue after the booking stage as well. During a trip, plans change because of weather, delays, opening hours or simply a change of mind. A travel companion should be able to understand that context and help the traveller adapt without having to reconstruct the entire plan.
With Roamiyo, our intention is for this intelligence to remain in the background. Travellers should not have to understand the technology. They should simply experience a journey that feels easier, more relevant and more naturally organised around them.
The travel industry often operates across fragmented systems and large amounts of customer data. How can AI and connected digital ecosystems help create a more integrated and personalized travel experience?
The travel industry has many excellent platforms, but each one generally solves one part of the journey. Travellers may discover a destination on social media, receive recommendations through messages, make bookings across multiple platforms, maintain an itinerary elsewhere and coordinate with their group through another application.
The problem is not necessarily the absence of information. It is that the traveller is often responsible for connecting all of it.
A connected digital ecosystem can bring these different elements into one continuous journey. AI can help interpret the information, understand the relationships between it and translate it into useful actions. A saved video can become a place on an itinerary. A flight delay can trigger a change in the day’s plan. The preferences of several group members can be considered together instead of being debated across dozens of messages.
For this to work responsibly, travellers must retain control over their information, and platforms must be transparent about how that information is used. Personalisation should feel helpful rather than intrusive. The opportunity is to move from a collection of disconnected transactions to a travel experience that understands context and accompanies the traveller from initial inspiration to the journey itself.
Looking ahead, what is your vision for ETPL and Roamiyo, and which emerging technologies or trends do you believe will have the biggest impact on businesses and the travel industry over the next five years?
Our vision for ETPL is to build technology that makes complex organisations easier to operate. We want to create connected enterprise platforms that give employees clarity, give customers a better experience and give leaders a more accurate, real-time view of the business.
Roamiyo applies the same philosophy to travel. Travel currently involves too many disconnected decisions, platforms and conversations. Our ambition is for Roamiyo to become a travel companion where the journey can live – from discovery and planning to coordination and the experience of being on the trip.
Over the next five years, I believe the biggest change will come from the convergence of contextual AI, real- time data and connected digital ecosystems. Enterprise platforms will move from recording what has already happened to helping organisations anticipate what requires attention. In travel, platforms will move from displaying options to understanding intent and helping travellers act on it.
We will also see interfaces become more natural, automation become more adaptive, and personalisation become increasingly sensitive to context. At the same time, trust, privacy and responsible use of data will become even more important.
The companies that create the greatest impact will not necessarily be those that use the most technology. They will be the ones that use it to remove the most friction from people’s lives.
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