Education on Demand
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Matt Waller Podcast: How AI is Transforming Consumer Brands and Retail
Shaveer Mirpuri, founder and CEO of Insite AI, joins Matt Waller to discuss how artificial intelligence is transforming consumer brands and retail industries.
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Matt Waller Podcast: How AI is Transforming Consumer Brands and Retail
Shaveer Mirpuri, founder and CEO of Insite AI, joins Matt Waller to discuss how artificial intelligence is transforming consumer brands and retail industries. -
The Candy Aisle Renaissance: From Impulse Buys to Strategic Category Growth
In today’s dynamic and highly competitive market, candy brands are constantly seeking innovative ways to stay ahead. With predictive data, brands can accurately forecast consumer demand, anticipate market trends and tailor their assortments accordingly. Not only does this enhance profitability but it fosters a more personalized and satisfying experience for candy enthusiasts. -
Connect at Groceryshop
Connect with Insite AI at Groceryshop and find out how our revolutionary approach can accelerate your top Sales, Revenue Growth, and Category Management initiatives. -
The Do’s and Don’ts of Joint Business Planning
In the dynamic world of retail, collaboration is key to success. During a recent panel discussion, Mastering Joint Business Planning: An Insider’s Guide, we sat down with a former VP of Sales at Coca-Cola, Capri Brixey, and a former VP of Merchandising at Walmart, Kristine Joji, to share their experience and insights into what makes a successful JBP. -
Navigating Uncharted Waters: How I’ve Used AI To Help Brands Prepare for Unexpected Events
In this blog, Tina Tran, former Lead Data Scientist at Bacardi shares her experience and insight to assist global brands in preparing for unexpected events and navigate crises with the power of AI. -
Fueling Growth: AI Unleashed in the Energy Drink Industry
The energy market has evolved considerably over the last 30 years. In the dynamic world of energy drinks, AI holds the key to success. Whether its volume, shifting brand loyalty or cross category migration, retailers need to know what will happen next—not yesterday–to maximize profits in valuable selling space. -
Refine Wine: Navigating Regional Preferences With Precision
The intricacies of the wine category make it one of the most complex to manage. AI and machine learning can help brands cut through the complexities and get the right wine onto the right shelves at the right time. -
Why Are CPGs Still Making Multi-Billion-Dollar Decisions Using Spreadsheets?
Mainstream media and technology companies have made the topic of AI so confusing to the point that it now seems too conceptual and risky to adopt. The move away from spreadsheets is not just a call for change; it is an opportunity for growth and innovation. -
Beers & Sunshine: How Brewers Can Lead the Season Through Assortment and Space Elasticity
The most important months for alcohol sales are underway. Brands across the CPG space can refine and optimize assortments, space planning and trade promotions through AI modeling. Machine learning distills the months of manual work required to understand movements and trends within a category to minutes. AI serves as an accelerant to internal teams and ways of working. -
How CPGs Can Move Beyond Price (Featured on Path to Purchase)
Amid the current inflation cooldown, retailers and consumers are over price hikes. It’s now on brands to implement strategies that drive organic volume growth. Retailers are seeking brand partners with knowledge and data that lifts a total category and moves products. Consumers want prices back to normal. -
Seeing AI Through a Practical Lens (Featured on C-Store Dive)
There’s a lot of noise around AI and what it can or cannot do. In this article, Brooke Hodierne, former SVP of Merchandising at 7-Eleven explores the practical applications and challenges of implementing AI in the convenience store industry. -
Weathering Retail M&A: How CPGs Can Ride the Waves With AI (Featured on CSP Daily)
With AI, CPGs can weather the storm and gain some control during the stressful M&A process. CPGs can look to AI to support difficult conversations and arm the newly formed retailer with accurate predictions around store space, total units, unique demand, loyalty and more. -
Taming the Data Tsunami for Better, Faster Decision Making
A leading brand in the craft beer sector wanted to elevate its category advisement at Whole Foods and Sprouts. Applying powerful predictive and AI elements, we brought together multiple previously unstructured data sources to surface insights that enriched and accelerated the brand’s planning and decision-making processes. -
How AI Will Revolutionize Annual Business Planning
Annual business planning is enormously important to consumer goods organizations, yet it is still largely done on spreadsheets. What’s more, CPG organizations inform their annual planning decisions using historical data. A strategy built on looking backward to go forward. In this article, Capri Brixey shares how CPGs can incorporate AI into their annual business planning to create a more predictive view of the future. -
The CPG’s Guide to AI
Research confirms leading consumer brands who harness the value of consumer insights and artificial intelligence (AI) better predict the needs of their customers. By turning mounds of overwhelming data into actionable intelligence, these CPGs are scoring big with retailers and end consumers alike. -
Mastering Joint Business Planning: An Insider’s Guide
In this panel discussion, former sales and merchandising leaders from Walmart and Coca-Cola, share their perspectives on how Category Advisory can lead JBP to improve outcomes. Gain a deeper understanding of retailers’ data challenges and find out how you can become their go-to partner by bringing the right data and insights to the table. -
Be the Smartest CPG in the Room During Joint Business Planning (Featured on Consumer Goods Technology)
Guest article originally featured on Consumer Goods Technology. See full article. Joint business planning is the lifeblood of a brand’s… -
Winning the Retail Space War with Predictive Modeling
One of the largest brands in the consumables sector wanted to understand how to utilize its store space for optimal results. Insite AI become an extension of their team, providing the support and resources they needed to ensure they achieved their goals through data, adoption, and guidance. -
One of the Largest Consumer Brands Achieves Category Leadership at Walmart
One of the world’s largest brands in the consumables area wanted to elevate its category advisement at Walmart. Applying powerful predictive and AI components across multiple data sources, we enriched and accelerated the brand’s planning and decision-making processes to present Walmart with the best assortments at a planogram level for all 4,600 stores. -
Tapping Real-Time Market Data and Performance Forecasts to Pick the Next Winners
A leading brand in the craft beer sector wanted to understand, with a high degree of accuracy, the demand drivers at the product, category, and store levels. Utilizing AI elements and powerful predictive capabilities, we gathered diverse sources of unstructured data to deliver granular insights that allowed the brand to forecast performance over a two-year duration. -
How Brokers Can Lead the Way in AI Adoption
Through business intelligence and predictive analytics, brokers can ascend to new heights among their CPG partners. They can also strengthen their standing among retailer partners. Moreover, brokers can be a bridge between both, using high-powered AI to uncover common data truths and drive growth across the store. -
CPGs & Joint Business Planning: A Retailer’s POV
Former SVP of Merchandising at 7-Eleven, Brooke Hodierne, shares a retailer’s perspective on how CPGs can improve the Joint Business Planning (JBP) process by leveraging more accurate and intelligent predictive analytics to work more collaboratively to “gap close”. -
Passing Costs Onto Consumers: What is the Breaking Point?
Price Increases Are Inevitable in this Inflationary Environment. Avoid These Costly Pricing Mistakes. Setting prices is complex, and making pricing… -
Will Your Latest Price Increase Pass the Test?
Avoid Costly Pricing Mistakes by Getting to Grips with Price Elasticity Price Elasticity Priorities Put simply, price elasticity measures how… -
Demand Transference: Making Data-Driven Assortment Choices and Tradeoffs
In this webinar CPG and Artificial Intelligence Experts from Insite AI will discuss how to incorporate AI into your CatMan and RGM processes. We specifically discuss using AI-driven Demand Transference and Omni-Channel Modeling to drive improved decision-making to improve your competitiveness and strengthen your channel relationships. -
Tough Questions to Answer If You Want Category Captaincy
Retailers expect more than ever from their CPG partners as they face growing shopping challenges, keeping up with consumer demand,… -
Unlock Agility by Making Sense of Demand Transference
Consumer preference and behavior changes lead CPGs to renovate and rationalize their portfolios while satisfying retailer needs. But being mindful… -
Funding Incremental Growth With AI
Selecting the right AI solutions to for your category, pricing, and assortment decisions can reduce inventory costs, improve forecast accuracy,… -
Predicting Availability at the Shelf: The Power of AI
In this episode, we’re talking about how AI is being used with both CPG companies… -
Navigating Economic Uncertainty: How Shifting Data is Revolutionizing the CPG Relationship
CPGs and retailers have always had strong ties. With consumer behavior shifts… -
Funding Incremental Growth Through Effective Trade Promotion Optimization
How does product demand with price change? And, how does your pricing affect sales volume and margins? Keep these factors… -
A harmonious tale: Strengthening the retailer-CPG relationship
Ryan Powell, explains why the relationship between retailers and CPG brands goes… -
Another Summer of Hard Seltzer?
The second summer of the Covid-19 pandemic brings… -
How Nestle-Purina and Boston Beer are Navigating the AI Journey
How Nestle-Purina and Boston Beer are Navigating the AI Journey -
Avoiding Disastrous Category Management & Assortment Decisions
There have never been more choices available for consumers, which leads to massive challenges for category and assortment managers. Which… -
How AI Helps CPG Leaders Optimize Shelf Space
The stakes for shelf space are high, and the competition for it is fierce. Optimizing space is complex and nuanced,… -
Critical Priorities for CPGs to Maximize Omnichannel and Ecommerce Opportunities
Online shopping has seen exponential growth in the past several years, and the COVID-19 pandemic has prompted even more shoppers… -
Is It Possible for CPGs and Retailers to Both See Profit Boosts?
Both CPGs and retailers are under immense pressures for different reasons, operating with different objectives. See how a well-built, joint… -
There’s a New Growth Engine for CPGs
How AI Is the New Growth Engine for CPG Chief Growth Officers Executives at the world’s leading CPGs have huge… -
Could AI Have Predicted the Explosive Growth of Hard Seltzers?
Hard seltzers have seen sparkling growth over the last few years, and really took hold of the alcoholic beverage scene… -
How to Win with Optimal Product Assortment
Getting product assortment right isn’t easy, but it’s a major key to success for both brand and retailer. There’s an… -
3 Ways CPGs Use AI to Increase ROI
Every CPG strives to maximize its return on the money and effort it places into investments. The question is: Which… -
Launching a New Product in Crisis Mode
New products are often tricky to launch, but doing so amidst a crisis is even more challenging. Here’s a look…
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