How Manufacturers Can Automate 95% Of Quoting Work Using LLMs

So, I was at this AI conference in San Francisco last week, and it got me thinking about how AI, specifically Large Language Models (LLMs), could really change the way manufacturing companies handle quotes. Now, I know "LLMs" sounds like tech jargon, but bear with me - it's actually pretty cool stuff.

Every day, manufacturing companies are bombarded with quote requests from customers. It's time-consuming, tedious, and prone to human error. That's where LLMs come in. They're trained on tens, sometimes hundreds of billions of words of human language, ranging from software programs to the entirety of internet news feeds, and can understand and process language like we do, but way faster.?

LLMs can take a look at a customer's request, figure out what they need, and spit out an accurate quote in a fraction of the time it would take one of your employees. And the best part? They get better at it over time, learning from past quotes and interactions.

1. Speed: These AI can churn out quotes faster than you can say "purchase order."
2. Accuracy: Less human involvement means fewer mistakes. Simple as that.
3. Personalization: The AI can tailor quotes based on a customer's history and preferences. Nice touch, right?
4. Scalability: Whether you're dealing with 10 quote requests or 10,000, the AI's got you covered.
5. Cost savings: Frees up your team to focus on the stuff that really needs a human touch, like growing the business, talking to customers, and improving your products.

Now, I'm not just pulling this out of thin air. Some companies we work with are already seeing some pretty impressive results. One of our customers slashed their quote response time from two days to just two hours, and we estimate our solution saves them about 15 human hours of work every single day.

Or look at another company we work with, who bumped up their quote accuracy by 70%. Fewer errors, happier customers, and it saves a ton of time.?

Looking ahead, this tech is only going to get better. We might see AI that can understand even more complex requests, or maybe even voice-activated quoting. Imagine a customer calling in and getting an instant quote just by explaining what they need. It’s quite likely to happen sooner than you and I think.

So, if you're in manufacturing and you're not at least considering how AI could streamline your quoting process, you might be missing out. It's not just about keeping up with the tech - it's about staying competitive in an industry that's always evolving.

Of course, LLMs aren’t magic. There’s a lot of variables that have to be considered when building an internal workflow automation using LLMs:

• Garbage in, garbage out: LLMs have to be trained on accurate, consistent data in order to give quality outputs. Overlooking this part of the building process can result in delay and frustration.

• Keep it fresh: LLMs should always be updated to their most latest versions, and fed new data to improve their performance. The AI Arms Race is ongoing, and we’re seeing significant development with LLMs basically every week.

• Human oversight: Have someone double-check the AI's work, because no system is 100% perfect. LLMs were built by humans, after all.

• Smooth integration: Make sure the AI plays nice with your existing systems. Oftentimes, you may need to integrate your AI models with legacy systems, which can be cumbersome.

But we can help.?

If you’re convinced and ready to let AI do most of your quoting work for you, our case study here will give you a more detailed introduction to LLMs and what they can be used for within your company. It’s the first step to eliminating over 90% of your company’s data entry work within the next few months.

And if you’re looking for more than that, feel free to reach out to us.?

In fact, this sort of thing is pretty much our speciality. We’ve worked with fast growing startups as well as Fortune 500 enterprises, and have delivered outstanding results in mere weeks.

We’re venture backed with a hungry, go getter team.

And we can get you a working demo in just a week, customized to your company.

Free of charge.

So what are you waiting for?

Get in touch with us here. Talk soon.