Integrating AI into businesses can dramatically reduce human errors and hike up quality leading to an increase in consumer satisfaction and, eventually, sales. According to Lori Mitchell-Keller, global general manager of Consumer Industries at SAP, key AI applications have positively impacted the front- and back-end processes of F&B companies she’s worked with:
by Denise Toledo
Useful ideas of applying AI in food industry below is must read blog:
How to use Artificial Intelligence for Food Industry
Technology progressions have been disrupting traditional ways of activities, starting from the invention of computers to social networks and multi-room mainframe servers to hand held smart-phones. Likewise, recently we have been bombarded with lot of buzz words reflecting technological advancements, but couple of them is really gearing up to disrupt traditional organizational structure of businesses.
Machine learning is taking over all repetitive tasks of junior staff and already being considered as preferred choice of customer support in USA where 45% of consumers shown their inclination towards AI based online chatbots. Machine learning is the only viable solution to handle BIG DATA after digital transformation, where algorithm based soft robots identifies patterns in the data to predict future. Digital marketing strategies are already employing countless machine learning tools to gain competitive edge by understanding their market and customers better than their competition.
Digital transformation influencing businesses to move to inbound business models, should have the ability to cater to varying requirements of the consumers and scale easily. Due to the advent of smartphones and social media, online users prefer virtual interactions with their friends and family as it provides them comfort. Therefore, most of the people tend to gravitate towards quick virtual interaction with BOTS and get the issue resolved by tapping their smartphones.
Computers are the preferred choice of doing repetitive tasks at fast pace, without human errors. Therefore Robotic Process Automation (RPA) finding the ground in businesses and replacing low quality manpower with soft robots. For instance, performing data scrapping task for gathering market intelligence RPA becomes invaluable tool for marketing managers despite spending several folds more on human resource.
Finally, it is quite certain in the horizon that businesses will shrink in terms of head count and invest more on technology.