Applied AI for Pricing: You can’t be everywhere but your AI co-pilot can

TL;DR

An always-on AI co-pilot can improve pricing by continuously making precise, customer-specific micro-decisions within limits set by humans. Arena AI can choose among discounts, subscriptions, bundles, loyalty points, timing, and offer duration instead of giving everyone a fixed promotion such as 50% off on Black Friday. The approach emphasizes human augmentation, control, and trust. Read on to see how continuous optimization works in practice.

Transcript

we're on the cusp of something big artificial intelligence is entering every place where there's a decision often one done on autopilot and turning it into the optimal one done with an AI co-pilot today I'm sitting down with Pratap Bernard CEO and co-founder of Arena and he's going to show us one way all pricing will go from the domain of a person ... Read More

Key Insights

• 🚀 We're on the cusp of a major shift as artificial intelligence enters decision-making processes, offering optimization and extra revenue for big companies.
• 🍗 Business processes should not be treated like a mechanical process; Toyota's example of empowering workers for better decision-making led to huge success.
• 🔎 Pratap Bernard, CEO of Arena AI, has found a way to make significant improvements in business growth through micro-decisions and precise adjustments.
• 💰 Pricing is one of the most profitable examples of poorly optimized decisions made by humans, and AI can transform this process for better outcomes.
• 🤖 Arena AI's software enables micro-decisions and precise adjustments continuously, tailoring decisions for different customers and situations.
• 🤝 Building great software is about empowering humans to be cyborgs, extending human capabilities and augmenting decision-making instead of replacing it.
• 📍Control and trust are crucial in implementing AI-driven decision-making; giving agency to the machine while maintaining control and trust is key.
• 🔮 The ability to make hyper-personalized decisions for each customer in real-time is a powerful advantage, as it recognizes the uniqueness of every situation.
• 🌟 The future of software lies in extending human capabilities through AI, with examples such as GitHub co-pilot and the potential for AI to be a co-pilot in every business decision.

Questions & Answers

Q: How can an AI co-pilot continuously optimize pricing?

An AI co-pilot can evaluate a wide range of possible pricing actions and make precise adjustments continuously. Instead of applying one fixed offer to everyone, it can select among discounts, subscriptions, bundles, loyalty points, timing, and offer duration for different customers and situations.

Q: How does Arena AI improve pricing decisions?

Arena AI enables millions of small decisions and precision adjustments rather than relying only on a few high-level choices. Its software can vary the type, size, timing, and duration of offers within boundaries chosen by the business.

Q: Why is a fixed Black Friday discount less flexible than AI-driven pricing?

A 50% Black Friday discount is a fixed offer presented to everybody, even when a particular customer may not care about it. The transcript explains that another customer might respond better to a subscription discount, a bundle, or loyalty points.

Q: Does Arena AI replace human decision-makers?

No. Pratap Ranade describes the approach as human augmentation rather than human replacement, with software extending human capability. People retain control by defining how much or how little agency the machine receives.

Q: How can businesses control an AI pricing system?

A business can narrowly restrict the system to moving a discount between 50% and 70% off. It can also grant broader authority over discounts, bundles, offer timing, offer duration, and ongoing adjustments.

Q: Why is trust important when AI makes pricing decisions?

Businesses are handing decisions that were previously made by people, made implicitly, or not made at all to a machine. They therefore need to understand how it decides and how it responds when a predicted purchase does not happen or the environment changes.

Q: What does Toyota's production system illustrate about continuous optimization?

Toyota pushed decision-making toward the people actually doing the work and used kaizen, or continuous improvement. In 1986, Toyota became the first import automaker to sell more than one million cars in the US in a single year, illustrating the potential of many distributed improvements.

Q: What does the F-22 example show about human-AI collaboration?

The F-22 is described as so unstable that a flight computer must make 1,000 corrections per second to keep it airborne. A pilot remains in control by expressing intent, while the computer handles continuous low-level adjustments, a model for an AI business co-pilot.

Summary

In this video, Pratap Bernard, CEO and co-founder of Arena AI, explains how artificial intelligence is transforming business decision-making processes. He highlights the importance of making precise micro-decisions continuously, rather than relying on sporadic high-level decisions. By optimizing pricing decisions using AI, companies can unlock billions of dollars in additional revenue. Pratap emphasizes the need for control and trust in AI systems, allowing humans to extend their capabilities as cyborgs rather than replacing them. He also references the analogy of an F-22 fighter jet, where the pilot provides the intent and the flight computer makes thousands of decisions per second to keep the aircraft stable.

Questions & Answers

Q: How does artificial intelligence optimize pricing decisions?

Artificial intelligence enables precise micro-decisions and continuous adjustment in pricing. Rather than relying on fixed points or one-size-fits-all discounts, AI allows for personalized offers tailored to individual customers. This wider range of possible decisions helps optimize pricing and maximize revenue.

Q: How does Arena's software empower humans in decision-making?

Arena's software aims to augment human capabilities rather than replacing them. Users can control the level of autonomy given to the AI system and set boundaries for decision-making. This level of control ensures that humans remain in charge while leveraging AI to make informed decisions. Trust in the system is achieved through a focus on adaptability and responsiveness to dynamic environments.

Q: How does AI respond when predictions about customer behavior don't align with reality?

AI systems need to adapt and respond to changes in customer behavior. In dynamic environments, it is crucial for AI to navigate and make necessary adjustments. This responsiveness ensures that the system continues to optimize decisions even when expectations don't match reality. It's essential to build AI systems that can handle unpredictable situations and go beyond scenarios that work only when things are "on rails."

Q: How is the concept of an F-22 fighter jet similar to running a business with AI?

Like an F-22 fighter jet, running a business with AI involves setting the intent for desired outcomes and having the AI system make numerous micro-decisions to achieve those outcomes. The flight computer in the jet makes thousands of flight corrections per second, just as AI systems continuously make adjustments in business decision-making. The beauty lies in the ability to offer hyper-personalized decision trees for each customer, similar to how the fighter jet maneuvers with agility based on the pilot's intent.

Q: What is the interplay between human intuition and AI in decision-making?

Humans have a natural ability to make common-sense decisions and understand different situations. The interplay between human intuition and AI occurs when humans start to trust the machine, and the machine gets better through human coaching. This collaboration enhances decision-making capabilities and creates a synergy where AI learns from human insight while humans trust the AI to make informed decisions.

Q: How is AI already being used in other areas, such as programming?

AI is already being utilized to augment human capabilities in programming. Tools like GitHub co-pilot serve as co-programmers, generating prompts and suggestions for code. This kind of technology is already assisting legendary programmers like carpathy, who tweeted about how he doesn't code but rather prompts and edits. The potential for AI to become a co-pilot in every business decision is immense and transformative.

Q: How can businesses benefit from implementing AI in their decision-making processes?

By implementing AI in decision-making, businesses can achieve massive improvements and double-digit growth. AI optimization allows for precise adjustments, leading to increased revenue and better performance. Additionally, AI extends human capabilities and empowers businesses to make data-driven and adaptive decisions. Embracing AI in decision-making is essential for staying ahead and shaping the trajectory of entire industries.

Q: How can businesses build trust in AI systems?

Building trust in AI systems involves addressing two critical aspects: control and the ability to respond to changing environments. Businesses should have control over the level of decision-making authority given to the AI system, allowing them to set limits and ensure human oversight. AI systems should also be capable of dynamically responding to unexpected situations and adapting to new circumstances. Striking a balance between control and adaptability builds trust and confidence in AI systems.

Q: What sets Arena apart as an Enterprise startup in the AI space?

Arena stands out as an Enterprise startup in the AI space due to its groundbreaking techniques and the ability to provide transformative solutions across various industries. They focus on enabling precise micro-decisions and continuous optimization, leading to significant growth and enhanced performance for businesses. Arena's software emphasizes human augmentation rather than replacement, making it a trusted partner in implementing AI-driven decision-making processes.

Q: How can businesses get in touch with Arena for AI solutions?

Businesses interested in leveraging AI for decision-making can reach out to Arena through their website, arena-ai.com. The website provides contact information and further details on Arena's offerings. Additionally, following Pratap Bernard, the CEO of Arena AI, on Twitter (link in the video description) provides access to expert insights and updates in the field of AI-driven decision-making.

Takeaways

Artificial intelligence is revolutionizing business decision-making processes, particularly in areas like pricing, by enabling precise micro-decisions and continuous optimization. By leveraging AI, businesses can unlock significant growth and revenue. Trust and control are essential elements in building successful AI systems, empowering humans as cyborgs rather than replacing them. Businesses should strive for adaptability and responsiveness in AI systems to navigate unpredictable situations. Implementing AI in decision-making is crucial for staying competitive and shaping industries. Arena AI offers transformative solutions and emphasizes human augmentation, making them a valuable partner for businesses seeking AI-driven decision-making capabilities.

Summary & Key Takeaways

• Pratap Bernard, CEO of Arena AI, explains how AI is transforming business decision-making by enabling continuous optimization.

• The Toyota production system serves as an example of how empowering humans to make millions of micro decisions leads to significant improvements and growth.

• Arena AI's software enables precise adjustments in pricing decisions, expanding the possibilities beyond fixed discounts and allowing for hyper-personalized decision-making for each customer.