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Your destination for the latest trends, news, and consumer analyses

RILA Global Impact Grant: Research for Good

RILA Global Impact Grant: Research for Good

RILA Global Impact Grant: Get up to $25K in pro bono research to boost your nonprofit, NGO, or mission-driven organization’s social impact.

August 23, 2025

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RILA GLOBAL CONSULTING Welcomes Steve Becker as Managing Partner to Lead New Market Research Services

RILA GLOBAL CONSULTING Welcomes Steve Becker as Managing Partner to Lead New Market Research Services

A new chapter in AI-powered research as Steve Becker takes on Managing Partner role at RILA Global Consulting.

August 23, 2025

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Using AI to Uncover White Space Opportunities in CPG

Using AI to Uncover White Space Opportunities in CPG

In today’s competitive consumer packaged goods (CPG) industry, success is no longer about shelf space but about uncovering white space opportunities, those unmet consumer needs and hidden market gaps that drive growth and innovation. Artificial intelligence (AI) is revolutionizing how brands identify these opportunities by analyzing consumer sentiment, competitor activity, purchase behaviors, and search patterns in real time. From predicting emerging trends to validating product ideas, AI empowers small and mid-sized CPG companies to achieve first-mover advantage, reduce launch risks, and align with evolving consumer values. By leveraging AI-driven insights, brands can transform data into market-leading products that capture demand before competitors even notice.

August 16, 2025

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AI-Powered Product Launches in CPG: Insights from Real-Time Data

AI-Powered Product Launches in CPG: Insights from Real-Time Data

AI is transforming product launches in the consumer packaged goods (CPG) industry by replacing guesswork and delayed feedback with real-time, data-driven decision-making. For small and mid-sized enterprises (SMEs), this shift levels the playing field, enabling brands to track consumer sentiment, predict demand surges, and optimize marketing and inventory strategies on the fly. Unlike traditional launches that rely on outdated research and rigid plans, AI-powered tools deliver actionable insights from social media, ecommerce, and POS systems in real time—helping companies reduce wasted spend, reallocate resources dynamically, and boost sales performance. By starting small with pilot launches, setting clear success metrics, and building agile response systems, SMEs can turn product launches into repeatable, scalable growth strategies rather than high-stakes gambles.

August 16, 2025

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Predicting Drug Demand with AI: A Pharma Case Study

Predicting Drug Demand with AI: A Pharma Case Study

Artificial intelligence is transforming pharmaceutical demand forecasting by helping companies predict drug demand with greater accuracy, reduce waste, and ensure timely patient access. This case study highlights how a mid-sized pharma company overcame the challenges of launching a new specialty drug across diverse markets by implementing a custom AI forecasting model. Leveraging machine learning to analyze sales data, prescribing patterns, and public health signals, the company improved forecast accuracy by 42%, reduced excess inventory by nearly a third, and minimized stockouts. For small and mid-sized pharma enterprises, AI-driven demand forecasting is not just a supply chain upgrade—it’s a strategic advantage that boosts profitability, mitigates risk, and supports better patient outcomes.

August 16, 2025

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Why Off-the-Shelf AI Tools Fail for Pharma and CPG

Why Off-the-Shelf AI Tools Fail for Pharma and CPG

Off-the-shelf AI tools may promise quick fixes for small and medium-sized businesses in Pharma and CPG, but they often fall short when faced with the complexity of regulated workflows, specialized data, and compliance requirements. From fragmented integrations to limited customization and poor handling of industry-specific data, these generic solutions can hinder growth instead of enabling it. Custom AI, however, is built to align with unique workflows, regulatory standards, and evolving business goals—driving faster insights, stronger compliance, and real competitive advantage for SMEs navigating today’s demanding markets.

August 16, 2025

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How to Turn Raw Business Data into Revenue with AI

How to Turn Raw Business Data into Revenue with AI

Small and medium-sized businesses are already generating a goldmine of data—from sales transactions and customer feedback to supply chain logs and social media activity—but without AI, that data sits unused. By applying artificial intelligence across a clear data-to-revenue pipeline—collection, integration, insight generation, and automation—SMEs can unlock powerful growth opportunities. From smarter patient targeting in pharma to optimized promotions in CPG, AI transforms raw data into actionable strategies that boost revenue, reduce costs, and prevent customer churn. With the right focus, even modest datasets can fuel pilots that deliver measurable ROI, helping businesses anticipate market shifts and gain a competitive edge.

August 16, 2025

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Why Every CPG Brand Needs an AI Strategy in 2025

Why Every CPG Brand Needs an AI Strategy in 2025

In 2025, the Consumer Packaged Goods (CPG) landscape demands more than great products—it requires agility, personalization, and real-time decision-making. For small and medium-sized enterprises (SMEs), an AI strategy is no longer optional; it’s the key to competing with industry giants. By leveraging artificial intelligence for demand forecasting, dynamic pricing, personalized marketing, inventory optimization, and customer service automation, brands can unlock efficiency, speed, and growth. Affordable tools, abundant data, and rising consumer expectations make now the tipping point for AI adoption. A clear, goal-driven AI strategy transforms fragmented experiments into a powerful competitive advantage, ensuring CPG brands stay relevant and resilient in a rapidly evolving market.

August 15, 2025

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Will AI Replace Analysts? Why the Future Belongs to AI-Native Talent

Will AI Replace Analysts? Why the Future Belongs to AI-Native Talent

The analyst role is undergoing a seismic shift as AI redefines the skills that drive impact. While traditional “T-shaped” analysts relied on deep domain expertise and manual workflows, AI-native analysts harness intelligent agents to automate data prep, accelerate analysis, and orchestrate insights at unprecedented speed. This evolution demands mastery of prompt engineering, rigorous verification, and strategic business integration—transforming analysts from reactive report builders into proactive decision catalysts. In the agentic era, success belongs to those who don’t compete with AI, but conduct it, scaling human judgment and creativity across the enterprise.

August 15, 2025

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