Our Data Scientists, Siddhartha Paul and Goda Doreswamy, presented a paper on “A two-stage optimization framework for scheduled E-grocery delivery” at the European Conference on Operational Research 2021.

Photo by Liuba Bilyk on Unsplash

Here is an abstract :

The E-grocery delivery business is experiencing unprecedented growth owing to the current COVID pandemic situation. The trend is expected to remain the same, even after the situation is normal. The success of E-grocery depends on the cost-effectiveness and timely delivery of orders. This paper proposed a two-stage optimization framework for the scheduled E-grocery delivery-cost minimization. In the first stage, Last-Mile (LM) delivery optimization is modelled as a…


Jose Mathew, Meghana Negi, Rutvik Vijjali and Jairaj Sathyanarayana will present their paper titled “DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery” in the Applied Data Science track at the ECML PKDD’21 conference to be held Sept 13–17. Below is an abstract of the paper. A blog post version of the paper appears here.

Detecting abusive and fraudulent claims is one of the key challenges in online food delivery. This is further aggravated by the fact that it is not practical to do reverse-logistics on food unlike in e-commerce. This makes the already-hard problem of…


There are multiple learning and skilling opportunities that are provided to Swiggsters and we believe learning is a constant. One of the themes we wanted to highlight this time was on Security as it is a foundation for good engineering and is constantly evolving. We partnered with DeepArmor to create a learning module on security and designed a Capture The Flag competition towards the end of the module. Though we were doing this fully virtually, it garnered great interest and participation from the engineers (about 100+!). The sessions were very hands-on and kept the learners on their toes as they…


Our team comprising Rutvik Vijjali, Anurag Mishra, Srinivas Nagamalla and Jairaj Sathyanarayana presented a paper titled “Semantic Embeddings for Food Search Using Siamese Networks” at the 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2020). Below is the abstract of the paper which can be accessed here.

Efficient and effective search is a key driver of business in e-commerce. Functionally, most search systems consist of retrieval and ranking phases. While the use of methods like Learning to Rank (LTR) for (re)ranking has been studied widely, most retrieval systems in the industry are still predominantly based on variants…


Our team comprising Abhay Shukla, Dipyaman Bannerjee and Jairaj Sathyanarayana presented a paper titled “Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling” at the 3rd International Workshop on Utility-Driven Mining and Learning (UDML 2020) held in conjunction with the 20th IEEE International Conference on Data Mining (ICDM 2020). Below is the abstract of the paper which can be accessed here.

Online food ordering marketplaces are multi-stakeholder systems where recommendations impact the experience and growth of each participant in the system. A recommender system in this setting has to encapsulate the objectives and constraints of different stakeholders in order to find utility…


We are thrilled to be recognised for our innovation in Transport Tech at the 11th Annual Aegis Graham Bell Awards

http://bellaward.com/finalists/


Until about two years back, Swiggy was a brand that’s synonymous with food delivery. We prided ourselves as being called ‘Hunger Saviours’ and this continues to resonate among many of our customers. Today, while the narrative around ‘delivering unparalleled convenience’ in the space of food continues, we have evolved much beyond the realm of hyperlocal food delivery. Here’s a sneak peek into it.

The nature of convenience is quite different in today’s pandemic era. Safety, health, and staying at home are the new normal, and this makes access to otherwise routine, on-ground services and products even more necessary, and difficult…


Our team comprising of Aditya Kiran Brahma, Prathyush Potluri, Meghana Kanapaneni, Sumanth Prabhu and Sundeep Teki published a paper at the CODS COMAD 2021: 8th ACM IKDD CODS and 26th COMAD titled “Identification of Food Quality Descriptors in Customer Chat Conversations Using Named Entity Recognition”. Below is the abstract of the paper which can also be accessed here :

Chatbots are increasingly being used for providing customer support. One of the fundamental challenges for a bot, or for that matter any human agent, is to understand the context of a customer message. Chat conversations are typically associated with agrammatical structure…


Our team comprising of Pradeep Rangan, Sundeep Teki, and Hemant Misra participated in the First Workshop on Speech Technologies for Code-switching in Multilingual Communities 2020, INTERSPEECH, Shanghai, China, 25–29 October, 2020 and submitted their paper on “Exploiting spectral augmentation for code-switched spoken language identification,”. The team’s approach also performed exceedingly well in the shared task that was organised as part of the event and were featured in the leaderboard here.

Here is the abstract of the paper :

Spoken language Identification (LID) systems are needed to identify the language(s) present in a given audio sample, and typically could be the…


Our submission IEEM20-P-0298 — An Optimization Framework for On-Demand Meal Delivery System won the Outstanding Conference Paper Award at IEEM2020. Here is an abstract of the paper :

The success of an on-demand meal delivery business depends on the cost-effectiveness, speedy, and timely delivery of orders. This problem calls for an optimal trade-off between the cost and time of delivery in near real-time for large-scale orders. In this paper, a generic framework for the optimization of first-mile and last-mile of an on-demand meal delivery system is proposed. The objective is to minimize the overall Cost Per Delivery (CPD) and the…

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