List: Logistic Performance Management | Curated by Samir Saci | Medium

Sep 17, 2022

4 stories

Logistic Performance Management

Samir Saci
in
Towards Data Science

22 Impacting Projects to Start Your Data Science for Supply Chain Journey

A list of Data Science for Supply Chain case studies that can be used to develop your skills and quickly impact your organization.

Apr 9, 2021

A flowchart titled “Import Data, Select Objective, Visualize Results” shows a three-step process for supply chain optimization. The process begins with “Import Data” featuring a table icon, followed by “Select Objective” with a target icon. Below, three objectives are listed: minimize waste (factory icon), minimize cost (warehouse icon), and minimize CO2 emissions (truck icon). The final step is “Visualize Results” with icons representing a world map and data charts.

Apr 9, 2021

Samir Saci
in
Towards Data Science

Deploy Logistics Operational Dashboards using DataPane

Deploy Reporting Solutions using DataPane to Support Warehousing Logistics Operations for E-Commerce

Jan 21, 2022

Jan 21, 2022

Samir Saci
in
Towards Data Science

Logistic Performance Management Using Data Analytics

Implement operational indicators to monitor and improve the performance of international distribution networks

Jul 27, 2022

A comparison timeline showing both the actual and target timelines for logistic performance. The “Actual Timeline” is at the top, with white dots marking key events like picking, packing, shipping, and delivery. Below, the “Target Timeline” aligns these events with the expected timeline. This chart visually contrasts actual performance against target performance, highlighting gaps between expected and real operational timings.

Jul 27, 2022

Samir Saci
in
Towards Data Science

Automate Operational Reports Distribution in HTML Emails using Python

Automate the distribution of supply chain operational reports with visuals built in HTML emails with Python.

Sep 7, 2022

This diagram outlines the process for automating a weekly operational report creation and email distribution using Python. It begins with data extraction from a Warehouse Management System (WMS) database, continues through SQL queries to extract prepared order lines, followed by Python scripts that calculate key performance indicators (KPIs), and ends with an automated report delivered by email, including visuals created in the HTML report.

Sep 7, 2022

Samir Saci

Samir Saci

Top Supply Chain Analytics Writer — Follow my journey using Data Science for Supply Chain Sustainability 🌳 and Productivity ⌛ https://samirsaci.com/about

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