Stephanie Yee, a Partner at Bain & Company with a focus on pricing and profitability, dives into the real-world applications of Generative AI in pricing strategies. She discusses how to leverage unstructured data for better pricing decisions and highlights the role of AI in enhancing content automation and chatbot engagement. Stephanie emphasizes the importance of effective organizational change and prioritization in innovation efforts to truly harness the potential of Generative AI for improved efficiency and communication.
Generative AI revolutionizes pricing strategies by leveraging unstructured data for real-time market response and optimization.
This technology enhances sales efficiency through automated content creation and tailored negotiation training, supporting pricing integrity during discussions.
Deep dives
Understanding Generative AI in Pricing
Generative AI (Gen AI) introduces transformative capabilities in pricing strategies, moving beyond traditional AI which primarily relies on historical data. Unlike traditional AI, which excels at managing structured data for narrow tasks, Gen AI leverages large language models to analyze and synthesize unstructured data sources such as call transcripts and market news. This distinctive capability allows businesses to better react to market changes and optimize pricing in real-time. For instance, companies can adjust pricing recommendations based on recent developments like competitor actions or supply chain disruptions, enhancing overall pricing strategies.
Enhancing Pricing Decisions and Compliance
Gen AI enables a more comprehensive approach to price setting and compliance, addressing common issues that lead to margin leakage. By interpreting complex contract terms locked in PDFs and Word documents, businesses can systematically analyze contract compliance and uncover hidden revenue opportunities. An example highlighted a healthcare client's success in identifying 300 basis points of improvement by using Gen AI to ensure timely payments and adherence to contract terms. This capability empowers companies to optimize pricing and ensures they are fully capturing agreed-upon terms from their clients.
Revolutionizing Sales Enablement through AI
Through Gen AI, sales teams gain enhanced support via insights and summaries that boost their understanding and confidence in pricing strategies. This technology helps generate compelling sales and marketing collateral, improving the speed and efficiency of content creation by reducing turnaround times significantly. Moreover, AI-assisted negotiation training provides tailored practice modules based on past interactions, equipping sales representatives with the skills needed to maintain pricing integrity during negotiations. Ultimately, these Gen AI applications not only streamline sales processes but also strengthen the connection between pricing decisions and value articulation.
Machine learning has long enhanced pricing, but
distinguishing Generative AI's practical applications from hype is challenging. To identify true GenAI opportunities, practitioners should consider: (1) untapped unstructured data sources for price decisions; (2) areas for content automation to enhance pricing; (3) uses for engaging chatbots to improve pricing processes.
Stephanie Yee is a Partner at Bain & Company, where she exclusively serves clients on the topics of pricing and profitability. She has led multiple successful pricing transformation programs and is a former pricing and sales senior executive at a Fortune 75 company. She has published and spoken extensively on the topic of Pricing. Stephanie holds a Management Information Systems degree from Texas A&M University.
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