polestarnalytics

[polestarnalytics]

Agentic AI in RGM PDF | Polestar Analytics

Excited to share this powerful datasheet from Polestar Analytics on how Agentic AI is revolutionizing Revenue Growth Management (RGM). Traditional RGM models often rely on historical trends and reactive strategies — but with Agentic AI, businesses can now leverage autonomous agents for real-time pricing, promotion, and mix optimization. This approach combines intelligence, automation, and agility to drive sustainable revenue growth in fast-changing markets. A must-read for anyone in CPG, retail, or pricing strategy!

[polestarnalytics]

Agentic AI is reshaping demand management in the automotive sector | Polestar Analytics | Case Study

Just explored a fascinating case study from Polestar Analytics on how Agentic AI is reshaping demand management in the automotive sector. A leading global manufacturer was struggling with demand volatility, siloed forecasts, and delayed decision-making. By deploying an Agentic AI-powered demand management solution, they achieved enhanced forecast accuracy, real-time scenario planning, and autonomous recommendations — all aligned with business goals.

[polestarnalytics]

Marketing Mix Modeling Demystified: How to Optimize Your Approach

Do you know that? Marketing mix modeling for retail companies has been used by these businesses for many years. Marketers used to rely on device IDs and cookies to track how effective their ads were, but with stern privacy concerns, that method is becoming outdated. As a result, marketers are losing the detailed, cross-platform insights they depend on to make fast decisions. But don’t panic—there’s a robust solution that’s been around all along: Marketing Mix Modeling (MMM).

[polestarnalytics]

Top 15 Power BI Secrets: Tips, Tricks, and Hacks You Wish You Knew Sooner

Unlock the hidden potential of Power BI with our latest blog from Polestar Analytics! Discover the top 15 tips, tricks, and hacks that every data enthusiast and business analyst should know. From hidden features and advanced DAX shortcuts to performance tuning and dashboard optimization, this guide is packed with insider secrets to take your Power BI skills to the next level. Whether you're a beginner or a pro, these expert insights will save you time, boost productivity, and transform how you analyze data. Don’t miss out—start mastering Power BI like never before!

[polestarnalytics]

Marketing Mix Modeling Demystified: How to Optimize Your Approach

Do you know that? Marketing mix modeling for retail companies has been used by these businesses for many years. Marketers used to rely on device IDs and cookies to track how effective their ads were, but with stern privacy concerns, that method is becoming outdated. As a result, marketers are losing the detailed, cross-platform insights they depend on to make fast decisions. But don’t panic—there’s a robust solution that’s been around all along: Marketing Mix Modeling (MMM).

[polestarnalytics]

Top 15 Power BI Secrets: Tips, Tricks, and Hacks You Wish You Knew Sooner

Unlock the hidden potential of Power BI with our latest blog from Polestar Analytics! Discover the top 15 tips, tricks, and hacks that every data enthusiast and business analyst should know. From hidden features and advanced DAX shortcuts to performance tuning and dashboard optimization, this guide is packed with insider secrets to take your Power BI skills to the next level. Whether you're a beginner or a pro, these expert insights will save you time, boost productivity, and transform how you analyze data. Don’t miss out—start mastering Power BI like never before!

[polestarnalytics]

Trade Promotion Strategies 2025: A Key Imperative for CPGs

BOGO offers, percent-off deals, sale prices, free gifts with purchase—all of these give shoppers the feeling they’re saving money. But on the flip side, these types of trade promotion management in CPG come at a significant investment for manufacturers. In fact, they’re often the second biggest expense on a company’s profit and loss statement. With the current transforming economic headwinds like changing consumer habits, inflation, supply chain challenges, and rising tariffs- brands are finding it difficult to measure the effectiveness of their ongoing trade promotions strategy for CPG. This is the reason it is becoming imperative for brands to rethink their strategies.

[polestarnalytics]

What is Assortment Planning? | Polestar Analytics

Assortment planning is a strategic retail process that involves selecting the right mix of products to offer across various locations, channels, and time periods. It ensures retailers stock the right products in the right quantities at the right time to meet customer demands and preferences. Effective assortment planning drives higher sales, optimizes inventory levels, and enhances the overall customer experience. At Polestar Analytics, we define assortment planning as the data-driven approach to merchandise optimization, aligning product offerings with consumer trends, seasonality, and regional demand to improve profitability, reduce markdowns, and support strategic decision-making across the retail lifecycle.

[polestarnalytics]

What is Agentic AI | Polestar Analytics

Agentic AI refers to advanced AI systems that can autonomously analyze data, pursue complex goals, and adapt in real-time by solving multi-step problems with low to minimal human intervention. Simply stating, for a given environment (data ecosystem) they can understand the task, gather the data from the sources, generate solutions with a reasoning model like RAG/LLMs, and act on it via access to tools and APIs. It ideally consists of guard rails in the form of confirmations or approvals from humans; and a feedback loop.

[polestarnalytics]

How Agentic AI Is Powering the Next Supply Chain Revolution And Why You Should Care

Discover how Agentic AI is redefining supply chain management in our latest blog by Polestar Analytics. Traditional AI can only go so far—agentic AI goes further by enabling autonomous, goal-driven decision-making. Learn why today’s supply chains need this next-gen intelligence to navigate rising complexity and market volatility. We explore powerful use cases across inventory, vendor, and order management, and outline what it takes to prepare for implementation. Is your supply chain ready for this revolution—or will it fall behind? Dive into "How Agentic AI Is Powering the Next Supply Chain Revolution and Why You Should Care."

[polestarnalytics]

AI Capabilities in Microsoft Fabric Transforming Business "

This blog unpacks how Microsoft Fabric is doing exactly that by blending analytics with powerful generative AI and AI agents. Whether you're a data scientist, business leader, or tech decision-maker, this deep dive into Microsoft Fabric’s AI services offers critical insights into building an AI-ready enterprise. Discover how real-time intelligence, Fabric Data Agents, Copilot, and Azure integrations are reshaping the modern data estate.

[polestarnalytics]

Top 15 Power BI Secrets

Even experienced analysts often uncover Power BI features that dramatically elevate their workflow. In this blog, Polestar Analytics reveals 15 advanced Power BI secrets that distinguish true experts from beginners. Building on our strategic Power BI implementation guide and dashboard design best practices, this piece dives into lesser-known capabilities that can supercharge your reporting, streamline processes, and help you unlock the platform’s full potential—making every dashboard smarter, faster, and more impactful.

[polestarnalytics]

Agentic AI in Retail | Polestar Analytics

Agentic AI is revolutionizing retail by enabling real-time, autonomous decision-making to close the gap between traditional systems and modern demands. This blog highlights key use cases like customer experience personalization, channel and assortment optimization, SKU management, and POS vendor selection. With the ability to maintain continuous customer context and streamline omnichannel operations, agentic AI is shaping the future of retail—moving from potential to practical, with tangible results already in motion.

[polestarnalytics]

How Agentic AI Is Powering the Next Supply Chain Revolution And Why You Should Care

Agentic AI is emerging as the next leap in supply chain management, going beyond traditional AI by enabling autonomous decision-making and adaptability. As global supply chains face increasing volatility and complexity, agentic AI offers powerful use cases in inventory optimization, vendor coordination, and dynamic order management. This blog explores why now is the time for adoption, key implementation considerations, and how to assess whether agentic AI is the right fit—or a potential failure.

[polestarnalytics]

AI Capabilities in Microsoft Fabric Transforming Business

Today's organizations need more than just data—they need intelligent tools that transform data into action. This blog unpacks how Microsoft Fabric is doing exactly that by blending analytics with powerful generative AI and AI agents. Whether you're a data scientist, business leader, or tech decision-maker, this deep dive into Microsoft Fabric’s AI services offers critical insights into building an AI-ready enterprise. Discover how real-time intelligence, Fabric Data Agents, Copilot, and Azure integrations are reshaping the modern data estate.

[polestarnalytics]

Futureproofing your Data Warehouse: [Best Practices]

To ensure long-term success, futureproofing your data warehouse is essential. Start by embracing cloud-native solutions to enhance scalability and flexibility, allowing seamless integration with modern data tools. Implement data governance frameworks to maintain data quality and compliance while ensuring easy access across departments. Leverage AI and automation for intelligent data processing, and integrate advanced analytics to unlock valuable insights. At Polestar Analytics, we guide businesses through these best practices, ensuring your data warehouse is agile, scalable, and capable of evolving with emerging technologies. Futureproofing ensures that your enterprise can stay ahead in a rapidly changing data-driven world.