delivery partner
How Zomato Uses Machine Learning
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.
Fired by bot at Amazon: 'It's you against the machine'
Stephen Normandin spent almost four years racing around Phoenix delivering packages as a contract driver for Amazon.com Then one day, he received an automated email. The algorithms tracking him had decided he wasn't doing his job properly. The 63-year-old Army veteran was stunned. He'd been fired by a machine. Normandin says Amazon punished him for things beyond his control that prevented him from completing his deliveries, such as locked apartment complexes. He said he took the termination hard and, priding himself on a strong work ethic, recalled that during his military career he helped cook for 250,000 Vietnamese refugees at Fort Chaffee in Arkansas.
- Transportation > Passenger (1.00)
- Transportation > Ground > Road (1.00)
- Retail > Online (1.00)
- Information Technology > Services (0.70)
The New Normal -- How AI is slowly eating the Manager role.
Over the last few years, there has been a lot of research and discussion in the media over growing concerns that AI is automating away many types of jobs leading to several industries requiring far fewer workers. But, in this article, whose title is of course inspired by Marc Andreessen's classic post, Why Software Is Eating the World, we take a look at a related but not as much talked about phenomenon that has been slowly and silently occuring of late. That phenomenon is the new and perhaps even more impactful trend of AI eating up managerial tasks and replacing the need for supervisory managers. One of the ways to look at the traditional responsibilities of a manager is via the lens of the team management lifecycle -- it starts with building the right team through recruitment activities such as interviewing and hiring people with the right skills, then allocating them appropriate tasks and assignments, making sure they perform their tasks per organizational and regulatory standards and guidelines, and lastly evaluating their performance to provide helpful coaching and feedback as well as taking remedial measures as required. In the following sections, we will explore how there have been several developments over the last few years which have led to radical changes in how each of these areas are performed by AI driven or AI augmented systems. It's probably not a surprise that the hiring process was one of the first to be disrupted by AI.
Predicting Time to Cook, Arrive, and Deliver at Uber Eats
Uber Eats has been one of the fastest-growing food delivery services since the initial launch in Toronto in December 2015. Currently, it's available in over 600 cities worldwide, serving more than 220,000 restaurant partners and has reached 8 billion gross bookings in 2018. The ability to accurately predict delivery times is paramount to customer satisfaction and retention. Additionally, time predictions are important on the supply side as we calculate the time to dispatch delivery partners. My recent talk covered how Uber Eats has leveraged machine learning to address these challenges. With the mission "Make eating well effortless, every day, for everyone" one of our top priorities is ensuring reliability.
- North America > Canada > Ontario > Toronto (0.24)
- North America > United States > New York (0.04)
- North America > United States > California > San Francisco County > San Francisco (0.04)
Dunzo Ups Its Machine Learning Game To Reach The Mark Of 25 Million Orders Per Month
Over the past few years, the delivery services in India has witnessed a massive growth. Today, we have a delivery service for every task -- whether you want to order food, get something delivered to one point to another in a city etc. However, there was a small void in this sector as well (for every task there is a different app) until Dunzo came into the scenario. Founded in 2014 by Mukund Jha, Kabeer Biswas, Dalvir Suri, and Ankur Agarwal, Dunzo in recent times has gained a significant amount of traction in the industry. Dunzo is an on-demand delivery service platform has changed the way people move things, shop and commute.
Project Wing now delivers burritos by drone in Australia
In the hope of making drone deliveries even more accurate, Project Wing has started making deliveries directly to people's houses in southeastern Australia. The firm announced that it will deliver food from Mexican food chain, Guzman y Gomez, and medicines from Chemist Warehouse pharmacies to customers in rural areas on the border of the Australian Capital Territory and New South Wales. Project Wing, which is run by Google parent Alphabet, hopes the trials will help to fine-tune how its drones move goods from where they're located to where they're needed. In the hope of making drone deliveries even more accurate, Alphabet's Project Wing has started making deliveries directly to people's houses in southeastern Australia Project Wing's aircraft has a wingspan of approximately 1.5m (4.9ft) and have four electrically-driven propellers. The total weight, including the package to be delivered, is approximately 10kg (22lb). The aircraft itself accounts for the bulk of that at 8.5kg (18.7lb).
- Oceania > Australia > New South Wales (0.25)
- Oceania > Australia > Australian Capital Territory (0.25)
- North America > United States > Virginia (0.06)
- Europe > United Kingdom (0.05)
- Transportation > Air (1.00)
- Government > Regional Government > North America Government > United States Government (0.72)