Lately, Zomato has been taking the internet by storm with intriguing posts like the independence day'not accepting orders anymore' or super friendly notifications reminding you to order food from its platform like never before. That is just one side of the coin. On the backdrop, Zomato has been experimenting with various machine learning models to provide personalised experiences to its customers, driver-partners and restaurants. Today, many consumer-focused brands are trying to understand customer preferences in real-time and offer personalised experiences. It requires surfing through the data lake, creating useful machine learning models, and deploying them in production.

BENGALURU: When food tech company, Zomato, let go of around 540 of its support staff last week, it said that improvement in its after-sales technology had forced its hand. The automation made almost 10% of the workforce in certain support roles across Zomato's customer, merchant, and delivery partner teams, redundant. While routine jobs will continue to give way to automation, food tech firms like Swiggy and Zomato are increasingly turning to machine learning (ML) and automation to drive their businesses, using years of data accumulated from food orders and user-level consumption patterns. And each customer order is now being influenced by the customer's own previous history of order preferences. Swiggy boasts of more than 130,000 restaurant partners on its platform, while Zomato claims to have added around 150,000 restaurants. With such a large supply base in place, both the food tech apps are now solving for demand, mainly using data.

Bengaluru: Zomato let go of about 540 of its support staff members previous week it stated improvement in its after-sales technologies forced its hand. The automation created for nearly 10% of the workforce in support roles that are certain across Zomato's buyer, merchant, and shipping and delivery partner teams, unwanted. Food-tech company Zomato & Swiggy are now turning into technologies like Artificial Intelligence and Machine Learning to drive their business using data collected from food orders and patterns at user-level consumption's. Over a million orders in a day and across more than 300 countries are dealing with Swiggy and Zomato. Every customer order is currently being affected by the customer's very own previous history of order preferences.

Bengaluru: When food-tech company Zomato let go of around 540 of its support staff last week, it said improvement in its after-sales technology forced its hand. The automation made up for almost 10% of the workforce in certain support roles across Zomato's customer, merchant, and delivery partner teams, redundant. While routine jobs will continue to give way to automation, food-tech companies such as Swiggy and Zomato are increasingly turning to machine learning (ML) and automation to drive their businesses, using years of data accumulated from food orders and user-level consumption patterns. And each customer order is now being influenced by the customer's own previous history of order preferences. Swiggy boasts of more than 1.3 lakh restaurant partners on its platform, while Zomato claims to have added around 1.5 lakh restaurants. With such a large supply base in place, both food-tech apps are now primarily using data to tap demand.

Food delivery platform Zomato on Saturday said that it has laid off 541 people -- 10 per cent of the company's strength -- across customer, merchant and delivery partner support teams. The reason behind the move is an improved Zomato platform with Artificial Intelligence (AI)-driven bots and automation in resolving customer queries that has led to an overall reduction in direct order-related support queries, the company said in a statement. "While this has been a painful decision, to make the transition smoother, we have extended between two-month months severance pay (based on tenure), family health insurance cover (till the end of January 2020) and career fair opportunities with companies," said Zomato. The company, which is at the loggerheads with the National Restaurant Association of India (NRAI) over deep discounts in its fine-dining Gold programme, claimed it has improved the speed of service resolution and now only 7.5 per cent of its orders need support (down from 15 per cent in March). "Over the last few months, we have seen our technology products and platforms evolve and improve significantly. This has led to an overall reduction in direct order-related support queries," said the company.

Technology has revolutionized our world and lives. It has made our lives better, faster, easier and fun. It has given us multi functional devices that have put everything at the touch of a button. From the way we communicate to the way we travel, its changing and evolving rapidly every day. Social media isn't the only big statement technology has made by making the way we connect and interact with the world.

Ant Financial, the payment services provider owned by Chinese online retail giant Alibaba, has indicated that it will invest approximately $150 million in Indian firm, Zomato. This places the value of Zomato, a food delivery firm, at $1 billion. Zomato offers its services in a total of 24 countries and will allocate the funds to the improvement of products as well as technology. The investment by the Alibaba unit in Zomato comes in the wake of the e-commerce giant partnering with Singapore's Nanyang Technological University to put up its first joint research center located abroad. The center will focus on the development of artificial intelligence aimed at solving modern challenges such as urban transport and ageing societies.

Google announced that it is officially killing last-click attribution at Marketing Next 2017, the companies annual event to promote ad products, analytics, and Double Click. Google launched Google Attribution, the companies new product which uses machine learning to assign a weighted value to every different touch point along the consumer's path to purchase. Last-click model used by digital marketers gives the last-click credit for sale or conversion. With the convergence of offline and online channels, the model was always debated to be not suitable when it comes to evaluating media effectiveness. With this new attribution model, the goal is to bring in more efficiency when it comes to media spends across channels and devices.