Less admin, more hospitality: a practical lens on F&B digitalisation
A reflection on July’s Restaurant Asia address: start with a clear operational problem before choosing a digital tool.

Digital tools are most useful when they help people do a clearly defined job. For food businesses, that could mean reducing repeated administration, making information easier to check or allowing more attention to preparation and customer service.
In her Restaurant Asia address on 15 July 2026, Low Yen Ling discussed AI and digital integration in food service. The address identified areas such as demand forecasting, inventory and task automation, while emphasising the importance of people, data and process design.
Start with the problem
Our interpretation is that an operator should describe the task before choosing the technology. What information is repeatedly entered? Where does a team wait for confirmation? Which routine question interrupts service? A specific problem provides a better starting point than a general desire to use AI.
For example, a business reviewing stock records could map how an order moves from the outlet to the purchasing team. That exercise may reveal an unclear handover or inconsistent item names before any new software is considered. This is an illustrative approach, not a description of Hwa Heng’s systems.
Keep people in the process
A tool that produces a report is only useful if someone knows how to interpret it and act on it. Staff need a practical way to correct errors, ask questions and understand which information is dependable. Responsibility should remain clear when a process changes.
The July address connected successful adoption with upskilling and redesigned workflows. That broader emphasis is useful for heritage food businesses: technology can support operations while the food identity and service experience remain central to the brand.
Measure a small change first
A sensible trial could compare the time spent on one administrative task before and after a change, alongside error rates and staff feedback. Improvement should be observed in the actual workflow rather than inferred from a vendor demonstration or a promise of efficiency.
For readers exploring Hwa Heng, the kitchen and brand story provides the food context for this discussion. This article is industry commentary. It does not announce Hwa Heng’s adoption of a particular AI system or claim savings, funding approval or commercial results.
