Join us for an exclusive webinar on ‘Demystifying AI Pricing in Retail’ where we will demonstrate the power of AI based pricing to revolutionize sales across industries. In partnership with Competera, we present a cutting-edge pricing model that promises to take your business to new heights.
In this virtual knowledge- sharing forum, participants will explore the intricacies of next-generation AI-driven pricing methods. Our experts will delve into the nuances of AI-based pricing and its impact on businesses. Attendees will gain valuable insights from understanding the underlying algorithms to practical implementation strategies and optimizing pricing strategies for maximum efficiency and accuracy.
Key Highlights:
- Dynamic Pricing Demystified
- Cutting-Edge Pricing Solutions
- Enhancing Sales Performance
- Navigating Market Dynamics
- Practical Implementation Strategies
Why Attend?
- Stay Ahead: Lead the e-commerce pricing revolution with dynamic pricing.
- Unlock Growth: Discover how dynamic pricing increases revenue and accelerates business growth.
- Network: Connect with industry leaders to exchange ideas and gain knowledge.
- Strengthen your Business: Equip yourself to confidently navigate today’s retail competition.
To register for the webinar, please fill out the form below:
About the Speakers:
About JK Tech:
JK Tech is a next-generation Digital and Business Consulting provider enabling clients globally to navigate their Digital Transformation. Being at the forefront of digital innovation in Retail, the organization harnesses the power of Data and Generative AI to ensure retail businesses stay ahead in an ever-evolving market landscape. The cutting-edge retail IT services revolutionize operations and solve problems ranging from Pricing and Promotion Recommendations to AI-driven demand forecasting.
About Competera:
Competera enables retailers to increase customer trust by setting and maintaining optimal price positions on a real-time basis by leveraging the power of AI. The deep machine learning algorithms enable their enterprise clients to rebound on an average of 6% of gross margin by continuously calculating and re-quantifying billions of possible price combinations.