TECH TRENDS make a huge difference . The whole purpose of a drive-thru , for example , is to order and move on with the least possible fuss . When AI drive-thru automated assistants get their orders wrong , or attempt to upsell too frequently , customers are likely to leave dissatisfied .
AI should be conversational , not scripted
This is problematic for legacy chatbot systems which tend to follow a hard-coded script . While this may work in theory , such a rigid approach may be incapable of handling complex customer orders and delivering accurate responses in real-time .
In other words , if AI can ’ t handle an interruption , answer a question or change an order on a dime , it ’ s not so intelligent . And if it can ’ t do it quickly , then it defeats the purpose of ‘ fast food ’.
That ’ s why Machine Learning ( ML ) plays such a crucial role , using special algorithms , features and datasets that continually learn and adapt through experience . And as they receive more input data , CAI and GAI systems improve their pattern recognition abilities , utilising this knowledge to make predictions and deliver more accurate outcomes in quick timeframes .
Endless AI possibilities
And when it comes to fast food restaurants , there are so many more capabilities :
• Customer feedback : including assisting with misplaced deliveries , addressing missing items , arranging refunds and managing feedback on good quality
• Real-time updates : conversational bots can provide real-time assistance and updates www . intelligentcxo . com
19