The Forecast for Revenue: Guide to Weather-Driven Pricing

Weather is a powerful, yet often-overlooked, driver of consumer demand that directly impacts your bottom line. Join two industry experts as they show you how to move beyond static pricing and leverage weather-driven demand intelligence for a significant competitive edge.

What You'll Gain:

• Understanding Dynamic Demand: Learn how to precisely quantify the financial impact of weather on your products and differentiate between short-term shifts and long-term climate trends.
• A Scientific Approach to Pricing: Discover how to leverage AI to model dynamic price elasticity, move beyond misleading metrics, and confidently distinguish between correlation and causation in your data.
• Strategic Integration Best Practices: Get expert guidance on how to effectively integrate weather intelligence into your AI pricing models, avoiding common pitfalls and turning data into proactive, profitable decisions.
  
  

Speakers

Lena Boichuk, 
Data Science Lead at Competera

An expert in advanced machine learning and econometric modeling, Lena Boichuk specializes in the application of data science to retail pricing. Her work focuses on understanding how external factors, such as weather-driven demand intelligence, influence consumer behavior and price elasticity. She is a recognized authority in discerning causal relationships from complex data, enabling businesses to move beyond traditional metrics and make proactive, evidence-based pricing decisions that enhance profitability and market agility.

Evan Gold,
EVP Global Partnerships & Alliances at Planalytics

Evan Gold has spent over 25 years in the retail and wholesale industries with experience crossing over multiple functional areas including merchandising, store operations, information technology, business weather intelligence, price/revenue management, strategy, and logistics. Mr. Gold has a B.S. from Drexel University and a M.B.A. from the University of Pittsburgh.

Moderator

Oksana Chypchyruk, 
Head of Partnerships 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.

About Competera

Competera reveals WHY customers buy by uncovering full demand elasticity and analyzing every factor that drives purchasing behavior. Our AI forecasts the business impact of every price change and simulates all possible pricing scenarios, enabling retailers to achieve their business goals by setting optimal prices.

About Planalytics

Weather volatility is the most prominent and constant climate-related risk retailers and consumer-based businesses face today. Planalytics provides predictive analytics that help companies proactively manage this mission-critical and financially impactful issue, address climate resilience, and capitalize on the opportunities created by weather-influenced changes in consumer purchasing. Planalytics is the leading global provider of weather-driven demand with unmatched retail-specific expertise gained from analyzing over one million categories based on more than 15 trillion sales transactions.