- As a customer, we are frustrated when we don't get food we ordered. From a restaurant manager's perspective, this doesn't reflect well on the restaurant and is expressed through various channels of social media. This could degrade the restaurants' image effecting its sales from new customers as well as repeat customers. - The aim of this project was to identify such accuracy issues in food orders for a restaurant-chain company from customer reviews sourced from various channels like Facebook, Twitter, Zomato, Email Feedback. - Work involved developing a rule-based NLP engine to parse the customer reviews and identify if there was an issue of wrong order being placed or delivered. - This has helped the management to identify the problem areas and enhance their customer experience.