List: Sustainability | Curated by Samir Saci | Medium

Jan 11, 2025

15 stories

Sustainability

Discover all the articles I published about Analytics for Supply Chain Sustainability.

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Samir Saci

Sustainable Business Strategy with Data Analytics

Use data analytics to help companies design and implement strategic sustainability roadmaps to reduce their environmental footprint.

Jan 10

Sustainable Business Strategy with Data Analytics

Jan 10

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Data Science for Sustainability — Simulate a Circular Economy

Use data science to simulate the impact of a circular model on the CO2 emissions and water usage of a fast fashion retailer.

Mar 28, 2024

A flow diagram illustrating the rental process for clothing. The process begins with the customer picking up a garment from the store on day 1, wearing it for 14 days, and then returning it to the store. The returned item is inspected, cleaned, and made available for another rental cycle, emphasizing the reuse model of a circular economy to reduce waste and environmental impact with rental.

Mar 28, 2024

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Samir Saci

Data Science for Sustainable Sourcing

How can you use Data Science to select the best suppliers considering indicators for sustainability and social indicators?

Mar 7, 2024

Three factories compared on three environmental factors: water usage, waste management, and CO2 emissions. Each factory is rated with stars on each factor, with one to five stars used for evaluation. The visual represents sustainable sourcing considerations for supply chain optimization, highlighting differences in supplier environmental performance used for sustainable sourcing with Python.

Mar 7, 2024

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Data Science for Sustainability- Green Inventory Management

Simulate the impact of store delivery frequency on the CO2 emissions of a fashion retailer

Mar 14, 2024

Data Science for Sustainability- Green Inventory Management

Mar 14, 2024

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Samir Saci

Data Science to Implement a Circular Economy

How can you use Data Science to support a Fast Fashion Retailer in Implementing a Circular Economy?

Mar 20, 2024

A visual representation of a circular economy model, showing the production, delivery, collection, and recycling process. Clothing is produced in a factory, transported to a warehouse, delivered to retail stores, and after customer use, collected for recycling. The collected clothes are returned to the factory for reuse and recycling, completing the circular loop of production and recycling.

Mar 20, 2024

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How Will Data Science Accelerate the Circular Economy?

Actionable data science tips to overcome the operational challenges in transitioning to a circular economy

Oct 19, 2023

A flowchart depicting the circular journey of textile products in a fashion retail circular economy. It starts with the production process (materials like cotton, polyester, silk) shown on the left, followed by the stages of producing clothing, selling it in stores, collecting used garments, and recycling them into new products. The arrows indicate the flow from producing to selling, then collecting and recycling. The diagram emphasizes a circular system that could be supported with Data Science

Oct 19, 2023

Samir Saci

Data Science to Support the Sustainable Development Goals (SDGs) — Data For Good

Linking Global Sustainability Initiatives with Companies’ Supply Chain Digital Transformations Using Data Science

Sep 6, 2023

An illustration representing three of the United Nations’ Sustainable Development Goals (SDGs). Goal 1: No Poverty, shown in red with an icon of a house in a low-income area. Goal 2: Zero Hunger, depicted in gold with an icon of a plate and fork. Goal 3: Good Health and Well-Being, shown in green with an icon of a heart and a healthcare app. These goals are part of the global initiative to address poverty, hunger, and health challenges.

Sep 6, 2023

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Data Science for Good: Beyond Profits, Towards a Better World

Use the Power of Data Analytics to Drive Positive Change in Your Company while Improving the Profitability.

Aug 25, 2023

A process diagram showing the flow from “Volumes Forecast” (boxes) to “Operators Productivity” (boxes per hour), then moving towards “Workforce Planning” (headcounts). The goal is to link volume predictions with productivity metrics to optimize workforce size, illustrating how forecasting can lead to efficient staffing. Icons such as shopping carts, clocks, and workers visually represent each stage in this workforce planning process for better logistics management.

Aug 25, 2023

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Samir Saci

What is ESG Reporting?

Leveraging Data Analytics for Comprehensive and Effective Environmental, Social and Governance reporting of a company

Aug 22, 2023

Aug 22, 2023

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Samir Saci

What is Greenwashing? And How to Use Analytics to Detect It?

Explore how data analytics can help us to detect and prevent greenwashing and promote genuine sustainability.

Aug 10, 2023

The illustration depicts a decision flowchart showing how data analytics can help identify greenwashing. The flow starts with the question, “Is it backed by real data?” If the answer is “Yes,” the flow leads to “It’s trustworthy,” indicated by a green “YES.” If the answer is “No,” the flow leads to “It’s greenwashing,” indicated by a red “NO.” This visual highlights the importance of data validation in distinguishing genuine sustainability efforts from deceptive marketing.

Aug 10, 2023

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Create a Sustainable Supply Chain Optimization Web App

Help your organization combine sustainable sourcing and supply chain optimization to curb both costs and environmental impacts.

Jun 15, 2023

A visual flowchart representing a sustainable supply chain optimization process. On the left, “Import Data” shows three factories labeled Factory 1, 2, and 3. The middle section, “Select Objective,” highlights options to minimize waste, cost, or CO2 emissions. On the right, “Visualize Results” displays a map and a pie chart to illustrate the optimal solution. This emphasizes balancing sustainability and cost-efficiency.

Jun 15, 2023

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Leveraging Data Analytics for Sustainable Business Transformation

Learn how to use analytics to overcome the challenges faced in scaling green initiatives that prevent organizations from achieving…

Mar 22, 2023

A hierarchical diagram displaying obstacles to sustainability in four key areas of organizations: Structure and Governance, Process and Metrics, Culture and Leadership, and Method and Skills. Each section includes a related quote, such as ‘Sustainability is not in our agenda’ and ‘We don’t have the tools to measure and reduce our footprint.’ At the top, a symbol represents the overarching challenge of integrating sustainability.

Mar 22, 2023

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Data Analytics for Supply Chain Sustainability

Discover how data analytics can improve supply chain sustainability with real-world examples and practical tips.

Nov 16, 2022

A graphic illustrating three key questions in supply chain sustainability analytics. The first question, “How much CO2 emissions last year?” shows 72k tons. The second question, “Why did emissions increase by 20%?” is attributed to air freight, represented by a pie chart. The third question, “What should we do?” suggests delivering to the U.S. market from Canada, represented by a computer with a logistics interface.

Nov 16, 2022

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What is a Life Cycle Assessment? LCA

Perform Life Cycle Assessment with Python to help businesses evaluate a product’s environmental impacts over its entire life cycle.

Jan 18, 2023

A flowchart illustrating the life cycle of a fast-fashion retail product. It begins with raw material extraction (represented by a cloud), followed by production in a factory, transportation by ship, storage in a warehouse, delivery by truck, and sale in a retail store. The cycle ends with product disposal. The chart represents the entire life cycle of a product from production to disposal, as part of a life cycle assessment (LCA) to evaluate environmental impacts.

Jan 18, 2023

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Supply Chain Sustainability Reporting with Python

Build a sustainability report focusing on the CO2 emissions of your distribution network using Python.

Dec 3, 2021

The image shows a supply chain sustainability report illustrating CO2 emissions from different transportation methods. A distribution center supplies goods to customers through three routes: (1) via road (120 km), air (1450 km), and road again (700 km); (2) directly by road for 200 km; and (3) through road, sea, and road again. Each mode of transportation highlights the distances, representing the CO2 emissions linked to the transportation network’s sustainability calculated with Python.

Dec 3, 2021