PodcastAIOrder Automation

AI in order automation: generative to synthesis AI

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Hyperfox

December 15, 2024 · 2 min read

AI in order automation: generative to synthesis AI

AI for order processing has evolved well beyond simple pattern recognition. In this first episode of Hyperfox Talks, Pieter Buteneers (AI expert, ex-ML6) and Tom Devoght (Hyperfox CTO) discuss the shift from generative AI, which extracts data from unstructured orders, to synthesis AI, which validates, enriches, and routes orders on its own.

The State of AI for Order Processing

Order processing has long been plagued by inefficiencies, especially when dealing with unstructured data like emails, voicemails, or plain text orders.

But as Pieter explains, AI has reached a level of maturity where it can efficiently turn this chaotic input into structured, actionable data. Generative AI is now capable of handling these challenges, streamlining workflows, and reducing manual interventions for back-office teams.

From Generative AI to Synthesis AI

One of the most fascinating shifts discussed in this episode is the evolution from Generative AI to what Pieter calls Synthesis AI.

Unlike Robotic Process Automation (RPA), which often struggles with accuracy in dynamic environments, Synthesis AI excels by summarising valuable information into structured outputs. This next-gen AI approach is not only more accurate but also more adaptable, paving the way for smarter, faster order automation.

The agentic system vs. main/critic configuration

Tom and Pieter also tackled the debate around different AI configurations for processing and validating data. The Agentic System, where multiple AI agents validate each other’s outputs, is effective but can be energy- and time-intensive.

Instead, Pieter highlights the promise of a Main/Critic setup: Learn more about the Hyperfox AI Order Agent.

  • A main LLM processes the input and generates the output.
  • A critic LLM validates the output, leveraging AI's natural strength in identifying errors or inconsistencies.

This setup ensures high accuracy while being more efficient and scalable—a game-changer for companies looking to automate their order management processes at scale.

Looking ahead

This first roundtable discussion highlights how AI is reshaping order automation in ways we couldn’t have imagined just a few years ago. From handling unstructured data to pioneering Synthesis AI and smarter validation systems, businesses in Belgium and beyond are poised to benefit immensely from these advancements.

Want to dive deeper into the conversation? Check out Episode 1 of Hyperfox Talks, now live on our platform.

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Ready to see how this works for your business? Book a demo and we'll walk you through a live example with your own order data.

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