Samir Saci | Data Science & Productivity

Data for Continous Improvement & Productivity

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Data Analytics for Supply Chain & Productivity

Data Analytics for Supply Chain & Productivity

In this blog, created by a senior supply chain engineer, you can find case studies of data analytics used for Supply Chain continuous improvement, cost reductions and sustainability and tasks automation.

Productivity

Automate Video Editing with Python

Automate Video Editing with Python

Automate the editing of explainer videos to create shorts with text-to-speech comments for the training of warehouse operators

Automate Graphic Design using Python

Automate Graphic Design using Python

Automate PowerPoint Slides Creation with Python

Automate PowerPoint Slides Creation with Python

Supply Chain Optimization

What is Supply Chain Analytics?

What is Supply Chain Analytics?

Use data analytics with python to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels

Production Fixed Horizon Planning with Python

Production Fixed Horizon Planning with Python

Robust Supply Chain Networks with Monte Carlo Simulation

Robust Supply Chain Networks with Monte Carlo Simulation

Automation & Reporting

Automated Supply Chain Control Tower with Python

Automated Supply Chain Control Tower with Python

Optimize your Supply Chain Network with an automated solution to follow your shipments and evaluate the risk of late deliveries

4 Smart Visualizations for Supply Chain Descriptive Analytics

4 Smart Visualizations for Supply Chain Descriptive Analytics

Deploy Logistics Operational Dashboards using DataPane

Deploy Logistics Operational Dashboards using DataPane

Warehousing Operations

Supply Chain Process Design using the Queueing Theory

Supply Chain Process Design using the Queueing Theory

Apply several principles of the Queueing Theory with Python to design a parcel packing process for an e-commerce fulfilment centre

Deep Reinforcement Learning for AGV Routing

Deep Reinforcement Learning for AGV Routing

Reduce Warehouse Space with the Pareto Principle using Python

Reduce Warehouse Space with the Pareto Principle using Python

Lean Six Sigma

Lean Six Sigma with Python — Chi-Squared Test

Lean Six Sigma with Python — Chi-Squared Test

Perform a Chi-Squared Test to explain a shortage of drivers impacting your transportation network

Statistical Sampling for Process Improvement using Python

Statistical Sampling for Process Improvement using Python

Lean Six Sigma with Python — Logistic Regression

Lean Six Sigma with Python — Logistic Regression

Transportation Operations

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Transportation Network Analysis with Graph Theory

Optimize E-Commerce Last-Mile Delivery with Python

Containers Loading Optimization with Python

Build a Shipment Tracking Tool using a Telegram Bot

Road Transportation Network Visualization

Lean Six Sigma

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Lean Six Sigma with Python — Chi-Squared Test

Statistical Sampling for Process Improvement using Python

Lean Six Sigma with Python — Logistic Regression

Central Limit Theorem for Process Improvement with Python

Lean Six Sigma with Python — Kruskal Wallis Test

Inventory Management

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Machine Learning for Retail Sales Forecasting — Features Engineering

Inventory Management for Retail — Stochastic Demand

Inventory Management for Retail — Deterministic Demand

Machine Learning for Store Delivery Scheduling

Machine Learning for Retail Demand Forecasting

Performance Management

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Lead Times Variability and Supply Chain Resilience

Supply Chain Process Optimization Using Linear Programming

Logistic Performance Management Using Data Analytics

Sustainability

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Data Analytics for Supply Chain Sustainability

Sustainable Logistics - Reduce Warehouse Consumables

Supply Chain Sustainability Reporting with Python

No-Code Productivity

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How to Use an API Without Coding