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Retail trends: Inventory, AI, and the dog that caught the car

CGI

This blog shares retail technology trends gaining traction for enterprises hoping to gain a strong footing in the marketplace. The key theme is the importance of data collection, analysis and implementation.

Retail 52
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Retailers, particularly in the fashion industry, are increasingly embracing circular business models: rental and resale programs offer opportunities for growth, while repair services offer an alternative to landfill disposal. Research expects that transitioning to a circular economy could generate USD 4.5

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. Finally, the retailer classifies data based on sensitivity levels and applies appropriate controls to each type.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. Apply real-time data in marketing strategies. Data quality management. Real-time enterprise is the market.

Analytics 103
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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Analytics 106
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Improving government services with Collibra Data Quality & Observability: A closer look at the food stamp program

Collibra

Recipients can use their EBT cards at authorized retailers to purchase eligible food items. Program integrity and compliance: State agencies must ensure SNAP benefits are issued accurately and that recipients and retailers follow program rules. By improving data quality, agencies can reduce their error rates and secure more funding.