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As AI becomes embedded, role of tech shifting
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Tuesday, 24 March, 2026, 15 : 00 PM [IST]
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Vishnu Vardhan Madabhushi
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The restaurant business has always been demanding. What has changed over the years is not the pace, but the complexity behind it.
Today, a restaurant brand is rarely just a dining room. It is dine-in, takeaway, delivery, aggregator marketplaces, loyalty programmes, promotions, refunds, inventory control and workforce management, often spread across multiple outlets and cities. Every added channel brings opportunity, but it also adds operational strain.
At the same time, costs are rising. Margins are tighter. Customers expect speed, consistency and value every single time. In India, where the organised food services market is projected to reach US$120-125 billion by 2030, this pressure will only intensify as brands scale across regions and formats. Growth today is less about expansion and more about control.
When Scale Exposes the Gaps
High-growth formats such as QSR chains, café brands and cloud kitchens are expanding rapidly. But scale has a way of revealing operational cracks: recipe drift, inconsistent discounting, delivery commissions that quietly eat into margins, stockouts that lead to cancellations, and inventory leakage that no one notices until month end.
For years, many operators relied on instinct, experience and end-of-month reports. That approach worked when businesses were smaller and simpler. It becomes risky when you are managing dozens of outlets and thousands of daily transactions. This is where Business Intelligence, or BI, has begun to reshape operations.
But even dashboards, which once felt revolutionary, are no longer enough.
Most restaurant owners are not analysts. They do not have time to dig through multiple reports to understand why food cost moved 1.5 percent or why margins dipped last week. What they want is clarity, quickly.
They want to ask a simple question such as why are my margins down and get a clear explanation that connects discounting, refunds, portion variance, labour productivity or delivery commissions in one place.
The growing investment in cloud-based restaurant technology reflects this shift. SaaS (Software as a Service) solutions in the sector generated roughly US$254 million in 2024 and are projected to grow significantly by 2030. The appetite for unified, data-driven systems is clearly accelerating.
From Reports to Real Conversations
The next step in this evolution is conversational BI.
Instead of searching for the right report, operators can simply ask what they need to know. The system responds in plain language, supported by real numbers. That shift may sound small, but in day-to-day operations, it makes a real difference.
In a business that runs from morning prep to late night deliveries, time matters. If understanding a problem takes hours, the fix gets delayed. And in restaurants, delays cost money.
Conversational BI shortens that gap between question and action. It brings hidden issues such as refund spikes, wastage trends, excessive discounting and cancellations into immediate focus. More importantly, it suggests practical next steps.
This is not about replacing leadership judgement. It is about removing friction. Leaders still decide. They simply decide faster and with greater confidence.
Moving Towards Decision Intelligence
As AI becomes embedded within BI platforms, the role of technology is shifting again. It is no longer only about reporting what happened. It is about anticipating what may happen next.
Modern systems can flag unusual behaviour before it becomes a serious problem. They can forecast demand to improve staffing and procurement. They can highlight patterns that would otherwise go unnoticed across multiple outlets.
In multi-unit operations, even small daily inefficiencies compound quickly. A minor variance in portion control across 20 outlets can quietly erode profitability. A slight increase in refunds across delivery channels can affect overall EBITDA. Decision intelligence helps teams intervene earlier, rather than reacting after the damage is done.
The measure of a BI system today is not how many dashboards it offers. It is how quickly it helps leaders act.
A More Sustainable Way to Scale
As restaurants grow more complex, data-driven decision making is no longer optional. It is becoming foundational.
Brands adopting unified SaaS and AI led operating systems are seeing measurable improvements including lower wastage, tighter inventory control, improved labour productivity and stronger margin visibility. Centralised governance over pricing, refunds, discounts and audits also brings discipline that is difficult to maintain manually.
The future of food and beverage sector will not belong to the brands with the most reports. It will belong to the brands that move from insight to intervention the fastest.
In the end, restaurants do not lose money because they lack data. They lose money when action is delayed. The real transformation underway in the industry is not about more analytics. It is about faster, clearer decisions.
(The author is founder and CEO at Sapaad)
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