Comprehensive Solutions for Unified E-Commerce Merchandising Retail Insights
The global technology market is poised for significant growth. In 2025, worldwide IT spending is expected to reach $5.74 trillion, reflecting a 9.3% increase from 2024. The information technology market size is projected to grow from $8.92 trillion in 2024 to $9.61 trillion in 2025, at a compound annual growth rate (CAGR) of 7.7%2. This growth is driven by increased investments in AI, cloud computing, and cybersecurity solutions.
E-commerce merchandising solutions are vital for optimizing sales and profitability in unified retail commerce. Retail CIOs can leverage these solutions to enhance product discovery and boost customer conversion through personalization.
Optimizing Sales and Profitability with AI and Personalization - Adopt Top E-Commerce Merchandising Solutions, Automate Tasks with AI, and Leverage AI-Embedded Solutions. This go on tab
E-commerce merchandising solutions must include the capability to set rules and assign attributes for specific badging strategies. Automating this process ensures compliance, accuracy, and consistency, freeing merchandisers from manually adding badges to thousands of products.
Product Discovery
Product listing pages (PLPs) cater to customers browsing for inspiration. AI-driven personalized PLPs enhance browsing, improving conversion rates by curating content tailored to each customer's needs. By analyzing previous activity, AI personalizes product recommendations, placing relevant items in prominent positions to build customer loyalty and brand connection. E-commerce merchandising solutions automate this process, optimizing product rankings to maximize sales and margins. Best-in-class solutions enrich product attributes, ensuring logical connections to customer preferences and enhancing the shopping experience. In summary, AI-driven personalized PLPs offer a tailored, efficient shopping experience, optimizing sales and building brand loyalty.
Commerce Intelligence
Inbuilt A/B testing is essential for e-commerce merchandising solutions. This feature allows for multivariate testing and analysis to validate decisions before scaling to larger audiences. By using experimental and control groups, it enables data-driven decisions, reducing risks associated with commercial decisions. E-commerce merchandisers can confidently implement strategic changes, minimizing unforeseen impacts on profitability.
Cloud Ecommerce
To deliver a seamless customer experience, e-commerce merchandisers need tools that provide insights into product and category performance. These tools should enable them to make changes and take action to boost conversion and profitability. Best-in-class solutions use AI and ML-driven data analytics to optimize website performance and recommend actions. They identify underperforming products and ineffective search results, proposing opportunities like promotions or category page reviews to enhance the customer journey.
Merchandize Analytics and Planning
E-commerce merchandising solutions enhance sales by personalizing product recommendations, much like a sales associate in a physical store. By analyzing customer intent in real time, these solutions optimize upselling opportunities. Personalization is key, as one-size-fits-all approaches fail to maximize profitability. AI and machine learning enable these systems to make split-second decisions and predict the best product recommendations, ensuring a tailored shopping experience for each customer.
Consumer Intelligence Tool
Industries
With our sector-specific expertise in intelligent industry, we’ll work with you to foster innovative, secure, and sustainable growth in Manufacturing.
- Merchandising Energy
- Food & KitchenAutomobile
- InfrastructureConsumer
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Vishal Kaushik
Product Leader | Education, Customers & Industrty Insights
Aaron Pareira
Sales Leader | Customers & Industry Insights