Venue
Virtual

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Event Date Tue Feb 6 UTC (10 months ago)
In your timezone (EST): Mon Feb 5 7:00pm - Mon Feb 5 7:00pm
Location Virtual
Region All
Details

In the ever-evolving world of retail, data isn't just information; it's the key to success. Retail analytics has transcended from being a mere tool to becoming the heartbeat of the industry. In 2022, a retail giant, using the power of predictive analytics, fine-tuned its product recommendations, resulting in a whopping 29% increase in sales. It's no surprise that the retail landscape is no longer a battleground for instincts; it's a playground for insights. Today, retail analytics is a dynamic force, shaping everything from inventory management to personalized shopping experiences. The "endless aisle" concept, championed by industry disruptors, allows customers to digitally explore an extended array of products while in-store. Such innovation is backed by data-driven insights that reveal changing customer preferences and behaviors. And let's not forget the magic of artificial intelligence: retail giants are utilizing AI-powered chatbots to enhance customer service, analyze consumer feedback, and drive an astounding 10% increase in sales.

In a world where every click, every transaction, and every customer interaction generates a data point, embracing the potential of retail analytics is not just a choice; it's a retail revolution. In a world where data rules, this summit is your ultimate gateway to harnessing the power of retail analytics. Don't miss this opportunity to stay ahead in the retail arena, where insights, innovation, and intelligence converge to shape the future of commerce!

Who Should Attend?
CXOs, VPs, Directors, Manager, & Specialists of -
• Retail Analyst
• Retail Data
• Retail Analytic
• Retail Insights
• Retail Business
• Retail Data Scientist
• Retail Reporting
• Retail Operations
• Retail Pricing
• Retail Forecasting
• Retail Merchandising
• Retail Customer Analytics
• Retail Supply Chain
• Retail Sales
• Retail CRM
• Retail Marketing
• Retail Strategy
• Retail Digital
• Retail Fraud
• Retail BI (Business Intelligence)