In This Article:
VANCOUVER, BC / ACCESSWIRE / July 31, 2024 / Snipp Interactive Inc. ("Snipp," the "Company") (TSXV:SPN)(OTC PINK:SNIPF), a global provider of digital marketing promotions, rebates, and loyalty solutions, is pleased to announce the launch of its inaugural AI in Shopper Marketing Technology Landscape, a groundbreaking resource that highlights the transformative impact of artificial intelligence (AI) on shopper marketing. This landscape features the latest AI-driven innovations that are reshaping how brands and retailers connect with consumers, optimize operations, and drive growth.
Artificial intelligence is revolutionizing shopper marketing by enabling unprecedented levels of personalization, efficiency, and insight for both brick-and-mortar and online shopping experiences. AI is instrumental in creating tailored shopping experiences, optimizing ad creative, developing new products, and ultimately driving marketing efficiencies, enhancing customer experiences, and increasing consumer spending.
A recent Deloitte study revealed that over 40% of grocery executives plan to integrate AI into their business applications. Specifically, 31% see AI as a customer assistant, while 22% recognize its potential in managing supply chain logistics. These findings underscore the diverse ways AI will impact the shopper's path to purchase.
The AI in Shopper Marketing Technology Landscape provides a snapshot of the industry sectors being transformed by AI and highlights the innovative companies reshaping the future of shopper marketing. Key areas featured include:
-
Predictive Analytics: Leveraging AI for real-time demand forecasting, inventory management, and personalized marketing strategies.
-
Creative Optimization: Utilizing consumer insights to generate and refine ad content for targeted audiences.
-
Product Innovation: Analyzing market trends and consumer preferences to drive product development and innovation.
-
Promotions Fraud Management: Using AI to detect fraudulent submissions more quickly and accurately.
-
Advertising Optimization: Enhancing budget allocation and monitoring performance across channels through AI-driven data analysis.
-
Price Optimization: Implementing pricing strategies based on real-time data and market changes.
-
Customer Engagement and Support Tools: Automating and personalizing customer interactions to optimize engagement and satisfaction.
-
Retail Merchandising Services: Optimizing inventory and promotions to boost sales and operational efficiency.
Additional areas highlighted in the landscape include Video Personalization, Voice of the Customer, Supply Chain Optimization, Retail Media, Ecommerce, Digital Shelf, Social Commerce, and more.