Advertisement

Active Hackathon

How India’s Delivery Startups Utilise AI

 “At the pandemic’s peak, most of the time-series models in production failed to see the sudden surge/drop in demand.”

Sandip Bhattacharjee, Head of AI/ML at Tabsquare.ai

What’s one thing that is common between logistics and machine learning algorithms—optimisation. Cost optimization, inventory management and many other aspects of a delivery pipeline generate a stream of complex data. AI offers tools that can tackle this kind of data. While the pandemic has disrupted the supply chain, the logistics industry is bracing for a different type of disruption—Artificial Intelligence.  For instance, e-commerce has seen tremendous growth with retail sales reaching a worldwide total of $4.28 trillion in 2020. The ease of buying everything online has given rise to delivery services across the nation to come up with innovative options for fast and efficient delivery. While the concept of online delivery is not new, the functioning of postal services has gone through a considerable transformation over time.  It is no longer a matter of shipping things from point A to point B. India especially, is slowly becoming home to one of the fastest growing online markets in Asia Pacific. 

“Retail e-commerce sales worldwide totalled $4.28 trillion in 2020, with e-commerce revenues expected to reach $5.4 trillion in 2022.”

Dunzo Digital, a Bengaluru-based hyperlocal delivery venture is using AI and machine learning to change the e-commerce playfield by building a postal service for Indian cities. The on-demand delivery service platform is using AI to figure out personalized content and options to decode the best approach to accomplish a task, and lastly, deciding on the best partner for order fulfilment. It partnered with Britannia and Cloudnine Group of Hospitals to deliver food, essentials and medicines to doorsteps during COVID-19.

THE BELAMY

Sign up for your weekly dose of what's up in emerging technology.
(Source : DHL)

Mailing system, too, has undergone significant changes thanks to machine learning. A large number of postal operators today rely on barcodes. Information about the senders and recipients are recorded through AI.  In combination, the increasing prevalence of quick-sortation and automated sorters help in postal centers is improving the sorting speed and cost effectiveness, as well as the reliability and personnel requirements of sorting. Deutsche Post DHL Group, leading mail and logistics company, finds Indian an important market base. With the majority of freight movement on road, DHL has launched SmarTrucking in India to accelerate the development of technology-enabled logistics solutions. DHL uses Internet of Things (IoT) and data-driven insights to increase the return on time and resources. This provides almost 95% of total end-to-to-to-end shipment visibility, but 50% reduction in transit time compared to the traditional trucking industry.

Another supply chain service company,’Delhivery’ has grown to become India’s most prominent third-party delivery service provider. DHL offers a wide range of services in transportation such as express parcel, LTL and FTL freight, cross-border, B2B & B2C warehousing, and reverse logistics. The Delhivery AI platform ingests and assimilates 1 billion system actions, 30 million addresses, 4 billion GPS locations, and 2.7 million terabytes of computer vision data.To meet the demand of the ever-changing e-commerce ecosystem, Delhivery uses AI, ML and big data to create a flexible, responsive and adaptable delivery system.For example, Without addressing standards, users are typically inconsistent, which may include alternative spellings, as well as geographic information. Delhivery’s Addfix leverages machine learning techniques to disambiguate unstructured addresses into an addressable form. Another Delhivery tool ‘ ‘Catfight’ derives subcategory and category information from an unstructured product description. 

In the matter of structured address, Amazon India is not far behind. Amazon is already spending $2 billion in Indian operations and has a long-term strategy using AI technologies. It has been using AI and machine learning to detect junk addresses, compute contact scores, and provide corrected addresses. There is no doubt that companies have become bullish about supply chain innovations. Whoever was on the edge were pushed over the line by the pandemic.  Anomalies like COVID-19 help build better models in the future. But, the current deep learning assistance to the traditional time-series modelling is still underwhelming.  “At the pandemic’s peak, most of the time-series models in production failed to see the sudden surge/drop in demand. On one hand, some product/service categories were seeing >10X demand due to stockpiling by end customers leading to a complete chaos in the supply chain,” said  Sandip Bhattacharjee, Head of AI/ML at Tabsquare.ai when asked about tectonic shifts in the supply chain.

More Great AIM Stories

Ritika Sagar
Ritika Sagar is currently pursuing PDG in Journalism from St. Xavier's, Mumbai. She is a journalist in the making who spends her time playing video games and analyzing the developments in the tech world.

Our Upcoming Events

Conference, Virtual
Genpact Analytics Career Day
3rd Sep

Conference, in-person (Bangalore)
Cypher 2022
21-23rd Sep

Conference, in-person (Bangalore)
Machine Learning Developers Summit (MLDS) 2023
19-20th Jan, 2023

Conference, in-person (Bangalore)
Data Engineering Summit (DES) 2023
21st Apr, 2023

Conference, in-person (Bangalore)
MachineCon 2023
23rd Jun, 2023

3 Ways to Join our Community

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Telegram Channel

Discover special offers, top stories, upcoming events, and more.

Subscribe to our newsletter

Get the latest updates from AIM
MOST POPULAR

Council Post: How to Evolve with Changing Workforce

The demand for digital roles is growing rapidly, and scouting for talent is becoming more and more difficult. If organisations do not change their ways to adapt and alter their strategy, it could have a significant business impact.

All Tech Giants: On your Mark, Get Set – Slow!

In September 2021, the FTC published a report on M&As of five top companies in the US that have escaped the antitrust laws. These were Alphabet/Google, Amazon, Apple, Facebook, and Microsoft.

The Digital Transformation Journey of Vedanta

In the current digital ecosystem, the evolving technologies can be seen both as an opportunity to gain new insights as well as a disruption by others, says Vineet Jaiswal, chief digital and technology officer at Vedanta Resources Limited

BlenderBot — Public, Yet Not Too Public

As a footnote, Meta cites access will be granted to academic researchers and people affiliated to government organisations, civil society groups, academia and global industry research labs.