Fast delivery has become one of the defining promises of e-commerce, but speed alone is no guarantee of a sustainable business. As retailers invest in dark stores, micro-fulfilment centres and increasingly sophisticated technology, the pressure is on to make each order profitable.
Rodrigue Nacouzi, who built temperature-controlled logistics business Transcorp before its acquisition by Green Dome Investments in 2025, knows the challenges of scaling first-hand.
In this interview with Gulf Business, he discusses the economics of quick commerce, where automation and artificial intelligence can deliver value, and what he looks for in new investments through Enablers Ventures.
You built Transcorp from the ground up before its acquisition by Green Dome Investments in 2025. What did that journey teach you about scaling a logistics business in the UAE — and what would you do differently today?
Building Transcorp taught me that growth places demands on a business well before it produces returns. Every contract brings commitments in infrastructure, people, working capital and service expectations. Managing that balance becomes increasingly important as the company expands.
In temperature-controlled logistics, there is very little room for inconsistency. The customer is entrusting you with the integrity of their product and, ultimately, their reputation. Earning that trust opens doors, but maintaining it at scale requires strong management, reliable systems and a detailed understanding of profitability across customers and operations.
As you scale, small inefficiencies become expensive. You need visibility into profitability by customer, route and facility, alongside managers who take ownership of those numbers. Revenue growth can hide weaknesses for a while, but eventually they surface in service quality or cash flow.
If I were starting again, I would invest earlier in management depth, operational data and clearer accountability. I would also be more selective about contracts. The right customer helps you build a stronger network; the wrong commercial terms can leave you financing someone else’s growth.
Quick commerce has promised consumers ever-faster delivery, but the economics can be difficult. What separates a sustainable quick-commerce model from one that is simply chasing speed and market share?
A sustainable model understands exactly what it earns and spends on each order and how those economics change as volumes grow. Order weight, basket size, product margin, picking productivity, delivery distance and wastage all matter. A busy operation is not necessarily a profitable one.
Speed should follow good network design. When stock is positioned near demand, inventory is accurate and fulfilment runs efficiently, fast delivery becomes more economical. When those foundations are missing, businesses end up paying for speed through discounts, excess staffing and expensive delivery capacity.
I am comfortable with a planned investment period, including initial losses, provided there is a defined budget, a deadline and measurable progress towards profitability. The important distinction is whether growth is improving the economics or simply increasing the loss.
Location has become increasingly important to fulfilment. How are dark stores, micro-fulfilment centres and commercial real estate changing as retailers try to get closer to the customer?
A fulfilment property has to be assessed as part of an operating network. The rent is only one component of its cost but a major one. That said, a cheaper site can end up being much more expensive if it adds delivery time, limits loading access or creates inefficient picking and dispatch.
The assessment needs to include customer density, SLAs, demand patterns, access, power capacity, site design and how the location interacts with other sites. Two individually attractive locations may serve largely the same customers, adding cost without enough additional reach.
This is the connection we are developing through Urban Solutions Group: bringing property selection, site preparation, micro-fulfilment and facility management into the same conversation. The objective is to choose spaces that work commercially and operationally from the outset, with enough flexibility to adapt as demand changes.
Automation and robotics are becoming a bigger part of logistics and fulfilment. Where do you see the strongest business case for automation today, and where is the industry at risk of overinvesting in technology?
The business case for automation depends on the space available, the volume handled and the productivity gains it can deliver. Large robotic installations can require substantial capital and changes to the facility, so the operation needs sufficient throughput to justify that commitment.
Quick commerce introduces a different dynamic. Dark stores bring inventory closer to customers, but they generally operate in compact urban premises where every square metre has a cost and a purpose. Any technology introduced must fit around storage, picking and dispatch without creating additional constraints.
In these locations, I see a stronger immediate case for selective automation: light-guided picking, wearable scanners and software that improves picking routes, replenishment and order coordination. These solutions can improve speed and accuracy within the existing footprint. Compact robotic storage can also be relevant, particularly where it improves storage density, provided the volumes and economics support it.
The risk is investing ahead of operational need, based on volumes that have yet to materialise. My priority would be to improve the productivity of the space and people already in place, then introduce more sophisticated robotics where the return is demonstrable.
You are developing an AI-powered decision intelligence platform for physical locations. What decisions can AI genuinely improve in areas such as real estate and logistics, and which decisions still require human judgement?
Many location decisions depend on information scattered across reports, spreadsheets, maps and people’s experience. We are developing a platform to bring that evidence together and help executives assess what to do, where and why.
AI can help compare locations, identify demand patterns, test assumptions and explore scenarios: what happens if rent increases, demand develops more slowly or a competitor opens nearby? It can also highlight missing or conflicting evidence before a decision is made.
Human judgement remains essential in assessing relationships, negotiating terms, understanding local conditions and deciding how much uncertainty to accept. The platform should make the reasoning behind a recommendation visible, including its limitations. My aim is to give decision-makers a stronger basis for judgement while keeping responsibility clearly with the people making the decision.
International e-commerce and marketplace companies continue to expand in the Gulf. What are they looking for when entering the UAE, and where are the biggest gaps in the infrastructure currently supporting that growth?
In my experience, they are looking for speed to market, predictable costs, consistent execution and partners who can grow with them. A facility or a fleet is only part of the requirement. They need local teams who understand how to bring property, approvals, staffing, technology and daily operations together.
The gap I focus on is coordination. A suitable property may still need substantial work before it can operate. A launch can be delayed because the facility, workforce and systems have been planned separately. Each individual supplier may fulfil its scope while the overall operation falls short.
There is a strong opportunity for partners who take responsibility across those interfaces, provide clear performance visibility and maintain consistent standards across multiple sites. International companies need confidence that expansion will be repeatable.
Enablers Ventures has completed six partnerships in the UAE over the past eight months. What kinds of businesses or technologies are attracting your attention now, and what does an investment need to demonstrate before you are prepared to back it?
We are particularly interested in technologies that address problems we understand through our operating businesses: logistics software, q-comm models, automation and decision intelligence. We also look at complementary businesses where our commercial relationships and industry experience can help accelerate growth.
Before backing an opportunity, I want to understand the problem, who will pay to solve it and why the team is capable of delivering. The evidence depends on the stage. An early business may demonstrate a strong understanding of its customers and credible demand; a more developed business should show paying customers, retention and a believable route to profitability.
Recurring revenue is attractive when customers continue paying because the product delivers value. I also look closely at governance, capital requirements and founder alignment. Completing six partnerships reflects our activity, but the real measure will be how those businesses perform and the value we help them create.
