Reviving the Classics: CPQ's GOFAI Principles in Modern AI Development

Does old wine in new bottles taste just as sweet? Or even better? Let's talk AI in the manufacturing industry - specifically, the blend of traditional and contemporary. Picture this: we infuse the wisdom of Tacton's CPQ Good Old-Fashioned AI (GOFAI) into the dynamic realm of modern AI for sales processes. Anachronistic, you say?

Hear me out - this could be a classic comeback story like no other.

AI in manufacturing has seen a dramatic evolution, from rule-based systems like Tacton's CPQ to data-driven modern AI. Each comes with its strengths - GOFAI offers transparency and explicit rule-following, while modern AI provides adaptability and learning from vast data.

But what if we could get the best of both worlds?

The Classic Comeback: GOFAI in a Modern AI World

It's time for a classic comeback. By integrating principles from Tacton's CPQ into modern AI, we could have an AI system that is not only data-driven but also provides explicit rule-following.

Imagine a sales process where a modern AI tool uses machine learning to predict optimal product configurations based on historical sales data. Now, integrate the GOFAI principles from Tacton's CPQ into this process. This would allow the AI tool to also consider explicit rules in its decision-making process, thus ensuring all configurations adhere to product constraints and business rules.

Revival in Action: Manufacturing Examples

Consider a case where a manufacturing company is using an AI-powered tool to assist sales reps in configuring complex products. The modern AI tool has been impressive, providing configurations based on patterns in past successful sales. But by integrating Tacton CPQ's GOFAI principles, the tool could also check each configuration against explicit rules, ensuring all proposed solutions are not just data-backed but also rule-compliant.

Old Wine, New Bottle: GOFAI's Enduring Relevance

This revival of GOFAI principles in modern AI development offers numerous benefits. The explicit logic of GOFAI fosters transparency and trust, while the data-driven approach of modern AI ensures adaptability and continuous learning. The result? An enhanced AI system that provides clear, compliant, and continuously improving solutions.

So here's to old wine in new bottles – to reviving the classics in a modern narrative. By blending Tacton CPQ's GOFAI principles with modern AI, we could usher in a new era of AI in manufacturing sales – one where the old and the new coalesce to create something truly remarkable.