Case Studies - NetiPulse

How to Supercharge Your AI with Knowledge Graphs & LLMs: A Step-by-Step Guide

How Language Models and Knowledge Graphs Work Together Ever ask how systems like Siri or ChatGPT can accurately relate facts—such as “Elon Musk founded SpaceX and leads Tesla”? The key lies not only in language models but in integrating knowledge graphs to provide structure and reliability. What Is a Knowledge Graph? A knowledge graph organizes entities and their relationships into subject–predicate–object triplets. For example: (Steve Jobs) — [founded] → (Apple Inc.) This structure lets s

AI & Analytics Case Studies

Microsoft Fabric & Power BI Tutorial: Enable Enterprise Intelligence in Your Organization

Client: Leading Retail Chain with 300+ Stores Nationwide Industry: Retail & E-commerce Engagement Duration: 3 Months Technology Stack: Microsoft Fabric, Power BI, Azure Data Factory Business Challenge The client struggled with fragmented data silos across sales, inventory, customer loyalty, and marketing systems. Reporting processes were heavily manual, inconsistent, and lacked strategic clarity. Key Challenges: * No real-time visibility into store-level performance * Inability to track

Case Studies AI & Analytics

Boost D2C Growth with AI Agents: Performance Marketing Strategies for Ecommerce

Case Study: Boosting ROAS and Personalization with AI Marketing Agents for a D2C Skincare Brand Client: Emerging Direct-to-Consumer Skincare Brand Industry: Beauty & Personal Care Objective: Increase Return on Ad Spend (ROAS), reduce Customer Acquisition Cost (CAC), and scale personalized campaign performance Engagement Duration: 2 Months Tools Deployed: Crew AI (Custom AI Agents), Meta Ads, Google Ads, GA4, Klaviyo, Shopify Business Challenge Despite significant investments in paid media, t

Case Studies

Navtics ML Forecasting Solution: Drive Smarter Business Decisions with Machine Learning

Case Study: Enhancing Sales Forecasting Accuracy with Machine Learning for a National Electronics Retailer Client: National Consumer Electronics Retailer Industry: Retail (D2C + Offline) Engagement Timeline: 3 Months Objective: Improve sales forecasting accuracy to optimize inventory planning, marketing efficiency, and annual budgeting Technology Stack: Python, Snowflake, Power BI, Azure ML Business Challenge The client relied on traditional forecasting methods—such as moving averages and ma

Case Studies