INDUSTRY WATCH

How has hospitality already embraced AI ?

Many smart technologies in hospitality have become so commonplace that people may not even think twice about the tech they ’ re using . For example , ordering apps that provide service at the tap of a finger and contactless check-ins are now the norm in venues across the world .

According to TalkTalk Business ’ own research , conducted in partnership with Don ’ t Be Shy , a large proportion of IT decision-makers ( ITDMs ) are eager to see AI adopted within their business . A staggering 92 % believe that operations and supply chains within their business would benefit from AI making most day-today strategic decisions .

The appetite for this smart technology is clear . But businesses can ’ t enjoy the benefits of AI without the right foundations in place to support it . Factors such as connectivity and reliable network infrastructure play a crucial role in these revolutionary technologies . So , for the world of hospitality to truly make the most of AI and its potential benefits , businesses need to consider not only what this technology can offer , but what they need to have in place to embrace it .

Building supply chain resilience

Hospitality businesses rely on a steady and predictable flow of products to keep customers happy , but managing supply chains is an increasingly complex , and often stressful , task .

Supply chains are vulnerable to disruptive global events , including volatile geopolitical situations which can have potentially long-term effects . The on-going conflict with cargo ships in the Red Sea being targeted by Houthi rebels and causing a spike in fuel prices is an example , which has had an impact on the availability and distribution of goods across the global market .

Environmental considerations are also high on the agenda . Many businesses are seeking to minimise their carbon footprint and offer locally sourced goods where possible . Optimising supply chains while maintaining regionalised sourcing requires thorough planning , flexibility and agility .

With sufficient data powering its ‘ thinking ’, AI can keep supply chains resilient by anticipating potential issues and making automated adjustments within pre-set parameters . This can be done by helping business owners find alternative sources for stock to keep levels topped up and service flowing . It can also help to divert stock to alternative locations or warehouses to meet a surplus or reduction in demand , allowing businesses to continue providing a reliable and cost-effective service , and building trust amongst customers .

Forecasting demand

Ultimately , AI can minimise wastage and maximise profitability .

By analysing datasets drawn from various sources , AI can predict the customer numbers coming through the door and their demands once inside . For instance , AI has the potential to use previous experiences

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