How AI Transformed Unilever's Supply Chain: A Greencode Success Story

During Innovation Tech Week 2025, our CEO Ezequiel Lamonica participated in the panel "Generative AI Applied to Real Businesses", where we presented one of our most successful cases: the implementation of artificial intelligence for companies at Unilever. In this article, we detail how we completely transformed their commercial chain and the lessons other companies can apply.

What is Greencode Software? AI and Big Data Specialists for Businesses

Greencode Software is a company with a presence in Argentina and the United States, specialized in software development with artificial intelligence and big data-based solutions. We regularly work with large volumes of data, primarily for industries like mass consumption and supply chain, implementing what is known as a digital supply chain.

As Ezequiel explained during the panel organized by Endeavor Argentina, SquadS Ventures, Digbang, Mana Tech, and Parque de Innovación, we’ve been working with artificial intelligence, machine learning, and deep learning for several years. Recently, due to increasing accessibility, we’ve been incorporating generative AI into many processes across various industries.

Success Case: Artificial Intelligence at Unilever

The Challenge of Business Automation

Unilever faced a typical challenge of mass consumption companies: managing a catalog of over 13,000 products with a complex supply chain involving vendors, distributors, and the central office. Recommendation and customer service processes largely depended on manual work.

Our Methodology: Step-by-Step AI Implementation

We apply a proven methodology for digital transformation with AI. We tackle problems holistically but implement in stages, starting with business visibility and gradually integrating technology where it creates a competitive advantage.

Solution 1: Recommendation Algorithms with Machine Learning

We implemented smart recommendation algorithms that suggest which products vendors should offer at each point of sale. Our predictive AI system processes multiple variables in real time:

• Local temperature and seasonality analysis
• Competition and positioning monitoring
• Smart inventory rotation
• Automated cross-selling and up-selling strategies

Solution 2: Generative AI Chatbots for Customer Service

We implemented conversational agents using generative AI to support both customer service and the buying process.

• Virtual shopping assistant: Helps users navigate over 13,000 products automatically
• AI-powered recommendations: Suggests products based on customer history and needs
• Automated post-sale support: Follows up purchases without manual intervention
• 24/7 service: No need for constant human staffing

Human Talent Impact: AI as an Enhancer, Not a Replacement

One concern raised during implementation was whether AI would replace human sales teams. Ezequiel emphasized that automation is meant to support people—freeing up their time from repetitive tasks so they can focus on customer relationships and high-value work.

Greencode Methodology: AI Consulting and Digital Transformation

1. Comprehensive Process Diagnosis: Understand current processes, pinpoint value drivers, and find where AI can be most effective.
2. Full Supply Chain Focus: From distributor directors to store managers, we optimize the entire supply chain.
3. Integrated AI Solutions: We develop complete AI systems that connect sales, logistics, and inventory—ensuring consistency and performance.

Change Management: Successful AI Implementation in Companies

We apply a gradual adoption strategy to avoid cultural resistance. By delivering results step by step, we help build internal trust in the transformation process.

Evolution: From Machine Learning to Generative AI

We began with traditional predictive models, like those powering Claude-style assistants, and now integrate generative AI to unlock higher-level automation and innovation.

Practical Guide: How to Implement AI in Your Company

1. Define specific use cases: Start with clear, valuable business problems.
2. Leverage AI strengths: Use AI for web scraping, data analysis, and personalized scaling.
3. Test with modern tools: Experiment using platforms like Claude.
4. Run small, measurable pilots: Validate impact before scaling further.

AI Trends for 2025

AI is becoming as essential and invisible as electricity. With tools more accessible than ever, automation is within reach for businesses of all sizes.

AI Security: Our Standards

• We choose platforms with strong privacy guarantees
• We implement AI compliance protocols
• We maintain strict confidentiality

Why Choose Greencode for Your AI Project

• Proven experience: 10 years of data-based solutions, success stories like Unilever, supply chain expertise
• Complete methodology: Diagnosis, execution, change management, ROI tracking
• Modern tech stack: Generative AI, computer vision, machine learning, agile development

Expected ROI from AI Projects

• 20–40% reduction in operational costs
• 15–30% increase in sales conversion
• Inventory optimization and less dead stock
• 24/7 service availability
• Scalability without adding headcount

Next Steps: Strategic AI Consulting

Is your business ready for AI? At Greencode we offer:

• AI opportunity diagnosis
• Custom implementation roadmap
• ROI projections and project timeline
• Solution demos for your industry

Contact Greencode: Your AI Partner

The Unilever case proves AI is not the future—it’s the present. Let us help you achieve the same success.

Request your AI consulting now:

📧 Email: hello@greencodesoftware.com
🌐 Web: greencodesoftware.com
📍 LinkedIn: www.linkedin.com/company/greencodesoftware/

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