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What should brands look for in Retail Media & Service Platforms? | iOPEX

Growing Revenue = Right Message + Right Audience + Right Insights It is evident from the previous series of blogs that retail media networks, services, and advertising platforms are being rapidly used by various B2C advertisers to reach their potential buyers through various ad formats. There is growing need for every advertiser/market is to reach a maximum number of the intended audience to increase the return on ad spend (ROAS).

The power of generative AI for retail and CPG

The retail and consumer packaged goods (CPG) industry has undergone significant transformations due to advancements in technology. Technological innovations have reshaped various aspects of the industry, including customer engagement, inventory optimization, and supply chain management. These innovations have helped drive digital transformation, improve operational efficiency, enhance the customer experience, and promote sustainability.

Data to Dollars

In our previous blogs, we discussed the transformative capabilities of AI in demand forecasting and planning for the retail and CPG industries, as well as the data science and ethical considerations behind it. Now, in this final installment of our series, we'll explore how businesses can maximize their margins by integrating, adopting, and executing AI-powered solutions.

Beyond Machine Learning: Advantages of Ensemble Models for Interpretable Time Series Forecasting

Time series forecasting continues to be a critical task in many industries, including retail, finance, healthcare, and manufacturing. Traditional forecasting methods have been successful, but advancements in machine learning (ML) have sparked interest in using ML algorithms for time series forecasting. However, the complexity of exogenous events such as a pandemic and inclement weather, can make time series forecasting challenging.

Business benefits of artificial intelligence in retail

The retail industry is going through a period of major upheaval. AI is transforming the landscape at a rapid pace. Grand View Research evaluated the market value at USD 5.79 billion in 2021 and this is expected to grow at a 23.9% compound annual growth rate (CAGR) from 2022 to 2030. For retailers, this translates into a need to adapt to an entirely new paradigm of customer expectations.

Empowering the Frontline: Inside Grupo Bimbo's AI-powered Transformation

Following our well-received presentations with Walgreens’ Andy Kettlewell at this year’s NRF and RILA LINK shows, we were fortunate to present another testimonial breakout session—this time from a CPG perspective—at Gartner’s annual Supply Chain Symposium/Xpo in Orlando. One of the things I’m especially proud of since the beginning of antuit.ai is the number of customers who’ve been eager to come forward and share their positive experiences with us.

Retail Inventory Management Best Practices: Tips for Success

Effective inventory management is an essential aspect of running a successful retail business. Whether you own a small boutique or a large chain of stores, managing your inventory properly can help you reduce costs, increase efficiency, and maximize profits. However, inventory management can be a complex and time-consuming task that requires a significant amount of planning and attention to detail.

Why AI Isn't Working for Everyone

Digital code behind a digitized face Welcome back to our series with Nicholas Wegman, Ph.D., Senior Director of Artificial Intelligence and Alex Barnes, Senior Director of Product Management, as they continue to discuss the science behind Artificial Intelligence (AI) and reveal how it can specifically increase retail/CPG margin. In the second part of our three-part series, we’ll delve deeper into the data science of AI, and why it’s not working for every business.

10 Keys to Successful AI/ML Adoption & Transformation

We know that for many retailers and CPG companies, AI/ML solutions represent a game-changing technology. Yet, this journey seldom comes without a few expectable “growing pains”—from adoption and scale through a fully-fledged data-driven transformation. For multiple internal stakeholders across an organization, the end-to-end process can seem quite daunting—especially without a well-defined plan.