SMILe Logistics Innovation Hack
2228 Registered
Allowed team size:
1 - 4
2228 Registered
Allowed team size:
1 - 4
Winners are announced.
idea phase
Online
starts on:
Jul 05, 2024, 12:30 PM UTC (UTC)
ends on:
Aug 04, 2024, 06:29 PM UTC (UTC)
Prototype Phase
Online
starts on:
Aug 19, 2024, 12:30 PM UTC (UTC)
ends on:
Sep 01, 2024, 06:29 PM UTC (UTC)
Winners
First Place
Third Place
Overview
Unlocking the Future of Logistics Through Data
Welcome to Data Dive: Revolutionizing Logistics, where innovation meets industry challenges head-on. Beyond mere coding, this hackathon aims to revolutionize how we perceive and optimize logistics operations through advanced data science and analytics. Over 60 intense days, participants will delve deep into solving intricate problems poised to reshape the logistics landscape. Join us as we explore the frontier of logistics intelligence, forging new pathways that elevate efficiency, enhance decision-making, and drive unprecedented growth in the logistics sector. Together, we'll harness the power of data to navigate the complexities of global supply chains and redefine the future of logistics.
Revolutionizing Logistics promises to be a thrilling exploration into the transformative power of data in logistics. Join us as we dive deep, unravel challenges, and surface with solutions that redefine how we navigate the logistics landscape. Together, let's harness the power of data to propel logistics into a new era of efficiency, insight, and innovation.
Eligibility:
-
Working Professionals
-
Freelancers
Themes
Demand Forecasting
Develop a model to identify and analyze factors influencing demand in the logistics industry. Participants should propose methods to predict fluctuations in demand accurately.
Data Representation
Design a comprehensive dataset that encompasses the diverse factors affecting demand in logistics, such as market trends, economic indicators, seasonal variations, and customer behavior.
Price Prediction Model
Create a predictive model that estimates the price a shipper is likely to pay for logistics services based on factors like distance, delivery urgency, cargo type, and market conditions.
A/B Testing Framework
Develop a simple A/B testing framework to evaluate the effectiveness of price recommendation strategies. Participants should demonstrate how their recommendations lead to improvements in key metrics, such as booking conversion rates or revenue.
Prizes
Main Prizes
First Place
INR 1,00,000
Second Place
INR 75,000
Third Place
INR 50,000
Help & Support
Please contact event admin
HackerEarth Support at support@hackerearth.com
HackerEarth Support at support@hackerearth.com
