
Mastering Data
for Customer-Centric Pricing


Retail and Travel at


What You'll Learn:
- Experience-Driven Pricing: Value Beyond the Product — Learn how to shift pricing from transactions to personalized experiences, aligning with customer expectations.
- Data: Your Experiential Pricing Compass — Discover how data enables personalized pricing, overcoming silos and driving customer satisfaction.
- Infrastructure for Agile Pricing — Understand how robust data infrastructure powers dynamic pricing within the experience economy.
- Personalized Pricing: Data in Action — Learn to tailor pricing with data, from personalized promotions to event-based adjustments.
- Partnership for Experiential Success — See how Kyndryl and Competera unite to deliver powerful, data-driven experiential pricing.
Speakers
Alex Galkin,
CEO & Co-Founder at Competera Seasoned executive with 18+ years of experience in Retail Pricing
Official member of the Forbes Technology Council
Mentor at Founder Institute.
Kayla Broussard,
US CTO, Retail and Travel at Kyndryl
Kayla Broussard is a Distinguished Engineer and the Chief Technology Officer for the Kyndryl U.S.
Retail and Travel market. Kayla is business-outcome focused and assists organizations with accelerating their desired transformation by infusing data and business decisions with her 24 years of experience in information technology.
Moderator
Oksana Chypchyruk,
Head of Partnersips at Competera
With deep expertise in retail technology and AI-driven solutions, driving Competera’s growth through key partnerships with global leaders like SAP and Google Cloud.
Format
Zoom
You will receive the link
in the confirmation email
When
Thursday, April 3rd,
6 pm CET / 12 pm EDT
Duration
45 min
About Competera
Competera enables retailers to increase customer trust by setting and maintaining optimal price positions in real-time, leveraging the power of AI. Our deep machine learning algorithms allow our enterprise clients to rebound an average of 6% of gross margin by continuously calculating and re-quantifying billions of possible price combinations.