Reinforce Learning in Optimizing Supply Chain For Kaufland

Posted Leave a commentPosted in Datathon 2020 Solutions

This article is a work in progress. We are a team of two and we just started exploring the dataset. Below is a link to Github – https://github.com/shamafarabi/Datathon   In [1]: import pandas as pd import matplotlib.pyplot as plt import seaborn as sns In [2]: r=pd.read_csv(‘sales.csv’) masterdata=pd.read_csv(‘item_lookup.csv’) In [3]: r.head() Out[3]: item_id the_date sold_qty 0 40001260 1/2/2019 7 […]

Minimizing logistical transportation expenses of Retail Supply Chain

Posted 2 CommentsPosted in Datathon 2020 Solutions, Finance

Business Understanding As you know,lots of companies,related to logistics system,are having troubles with managing their finances,when it comes to transporting and ordering.There are tons of problems and unnecessary costs,that are driving executives crazy.But the main problem,that is causing the most biggest pain to these companies,IS Transportation Expenses.Just imagine how much billions(if not trillions) dollars would be […]

2020_Kaufland_Raven_Delivery

Posted 3 CommentsPosted in Datathon 2020 Solutions, Datathons Solutions

Datathon 2020 Kaufland – Optimize Retail Supply Chain   Team Name: Raven Delivery Authors Borislav Aymaliev Gabriela Vasileva Irina Naskinova Zainab Lawal  Team Toolset Python, Pandas, MySQL Excel Kaufland  dataset   Business Understanding Client –  Kaufland  In the innovative era we find ourselves in today,we have the ability to not only optimise cost by predicting […]

Datathon – Kaufland Airmap – Solution – Phoenix

Posted 6 CommentsPosted in Datathons Solutions, Image recognition

Overview Our approach to the problem is as follow: Data Augmentation – in the data augmentation phase we are creating synthetic images based on the dataset we have. This helps us to have larger dataset for model training and validation Object detection – There are several challenges with the object detection. First, sample is imbalanced […]

Datathon Kaufland Solution – Team Total Kaputt! – Why da faQ the machine broke down?

Posted 1 CommentPosted in Prediction systems

What we tried to do to solve the Kaufland case for the Global Datathon 2018. This article just contains our exploratory data analysis in the form of many plots and some explanations. There isn’t any modeling stage described here.

Datathon Kaufland Solution – Predictive Maintenance Based on Sensor Data for Forklifts

Posted 2 CommentsPosted in Prediction systems

Kaufland-Case 1. Business Understanding Industrial vibration analysis is a measurement tool used to identify, predict, and prevent failures. Implementing vibration analysis on the machines will improve the reliability of the machines and lead to better machine efficiency and reduced down time eliminating mechanical or electrical failures. Vibration analysis are used to identify faults in machinery, plan machinery […]

Datathon2020 – Optimize Retail Supply Chain case – provided by Kaufland

Posted 2 CommentsPosted in Datathon cases

Artificial Intelligence (AI) is making huge impact in the Logistics Industry. Recent research shows that AI will enable companies to “…derive between $1.3trn and $2trn a year in economic value from using AI in supply chain…”.
Following this spirit Kaufland has prepared a hot case straight out of their Supply Chain Management systems.