Curious about integrating AI into your category management practices? Join us for this panel discussion with retail industry veterans and former category and sales leaders at Coca-Cola, Walmart and Nike as they discuss AI adoption in the CPG world.
Decoding AI for CPGs: A Path to Category Management Success
Curious about integrating AI into your category management practices? Join us for this panel discussion with retail industry veterans and former category and sales leaders at …
In this episode of “The Innovation Conversation,” former Amazon executive Tom Furphy, now the CEO of Consumer Equity Partners, and the Morning News Beat’s Kevin Coupe explore the impact of Walmart’s Luminate data on retailer-manufacturer collaboration.
According to IBM, the leading barrier to AI adoption is talent. In this Forbes Technology Council article, Shaveer Mirpuri, shares insight to help CPGs as they consider staff augmentation partners to accelerate AI initiatives.
CPG brands increasingly rely on AI technologies to crunch large data stores and find insight to win in the market, but many are falling short of their digital transformation goals due to outdated technology, Capri Brixey, EVP, strategy consulting at Insite AI, told FoodNavigator-USA in a video interview.
Insite AI harmonizes Luminate data, links it to existing tools, and recommends strategic actions. Navigate Walmart Luminate data plans and contact Insite AI to elevate your brand’s success in 2024.
When done right, retailers can reach higher sales, volume and profit margins, as well as build customer loyalty, by localizing assortments to each store’s shopper preferences and needs.
While food retailers have been actively utilizing AI to forecast shopper behavior and streamline supply chains, the adoption rate among consumer brands lags behind. In this article, we discuss four key trends that will drive CPGs to adopt AI in 2024 and beyond.
Explore the reasons behind the high failure rate, from limited or under-used data to the importance of customizing AI models, and the necessity of continued learning and resources. Insite AI offers solutions to these challenges, harmonizing data, creating custom AI models, and fostering a culture of ongoing learning, ensuring brands can proactively utilize AI for insightful, accurate predictive analytics and long-term success.
Insite AI leverages artificial intelligence and predictive analytics to identify actionable recommendations for brands from data insights, like those provided…
In this article, Brooke Hodierne (former SVP of Merchandising at 7-Eleven), shares recommendations for candy brands can make more informed pricing decisions, maximize their presence in stores, and collaborate with retailers to foster continued growth in the candy category beyond Halloween.
The wine retail world is incredibly complex, with a myriad of varietals, state regulations, distributor networks, and consumer preferences to navigate. In this CPGmatters.com article, Capri Brixey shares insights for wine brands to enhance the consumer experience, strengthen relationships with distributors and retailers, and unlock unprecedented opportunities.
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 with Insite AI at Groceryshop and find out how our revolutionary approach can accelerate your top Sales, Revenue Growth, and Category Management initiatives.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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..
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..
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.
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”.
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