Empowering your parts teams to make the right parts decisions, every time

Fast Facts: Parts AIdvisor

• Problem: Scattered parts data and catalog chaos make it easy to ship the wrong part, adding truck rolls, inventory waste, and lost customer trust.

• Impact: One incorrect part can cost $200-$1,000 in repeat truck rolls, tie up capital in unused stock, and erode loyalty.

• Solution: Circuitry.ai’s Parts AIdvisor unifies your parts catalogs, diagrams, and service history in a mobile-friendly, conversational AI advisor that gives technicians instant, accurate parts recommendations.

• Benefit: Technicians get the right part the first time, cutting delays, boosting productivity, and protecting margins.

When a technician, CSR, or dealer asks, “What part do I need?”, they’re not just looking for a number or code; they’re trying to avoid downtime, delays, and costly mistakes.

But answering that question isn’t always easy. Scattered parts data, hefty catalogs, and vague descriptions can get in the way of fast, confident parts decisions.

That’s why manufacturers are turning to Service AI platforms to solve real problems that hurt performance, eat into margins, and frustrate customers.

 Let’s break down three of the most common problems that manufacturers can face in their parts operations.

Quick Navigation

• The hidden cost of getting parts wrong
• Scattered parts numbers, catalogs, and chaos
• The field isn’t built for static catalogs and guesswork
  
• Parts AIdvisor for the right part, the right time
  

The hidden cost of getting parts wrong

Getting a part wrong doesn’t always feel like a crisis. But over time, the cost stacks up.

It starts with a delay, waiting for the correct part to arrive or scheduling a second visit. That means longer repair cycles, more equipment downtime, and technicians spending more time on repeat visits instead of tackling the service backlog. Then there’s the logistical mess: return visits, part reorders, and lost trust from your customers. 

Let’s break down what one mistake really costs: 

• Another truck roll. Depending on the industry, a single truck roll costs anywhere from $200 to $1,000, and that’s before you factor in fuel, scheduling time, or the opportunity cost of what that technician could have been doing. 

• A missed opportunity. Every repeat visit means a technician isn’t handling a new job. That’s time, money, and capacity you won’t get back. 

• Unused parts and inventory. The wrong part may go unused or sit in inventory. Multiply that across your service network, and you're looking at excess stock, tied-up capital, and more strain on your parts management team. 
• Eroded customer trust. One bad experience can be enough to lose a customer, especially if they’re under pressure to get their equipment back online. And even if they stay, their confidence in your team takes a hit. 

And often, it all comes down to a simple misstep: a part code that didn’t match the machine, a name that sounded similar, or a technician who wasn’t 100% sure.

This is where Parts AI makes a real difference. It gives your teams accurate, fast answers that are context-aware and sourced from your service data, past repairs, and real-world situations. Whether it’s a vague symptom or a confusing description, the AI guides them to the right part. That means fewer errors, faster repairs, and less rework.

Scattered part numbers, catalogs, and chaos

Parts data is rarely clean or in the same place. Some live in an ERP. Others hide in PDFs, spreadsheets, or old binders. Some of it only exists in a seasoned technician’s head. And if you ask five people how to find the right code, you’ll probably get five different answers. 

Scattered knowledge causes friction at every point:

• Slow resolution times. Finding the right part takes longer than the fix itself.

• Senior technicians pulled in to help. They become the bottleneck instead of the expert.

• Frustrated teams. especially newer technicians or CSRs trying to piece together answers.

• Constant tab and tool switching. Which kills productivity and momentum.
• Hard to scale. Knowledge is everywhere and nowhere, making onboarding and consistency a challenge.

With Parts AI, all that scattered data becomes accessible. Whether the source is structured or unstructured (think catalogs, manuals, bulletins, diagrams, or technician notes) AI can unify all your data, interpret it, and instantly surface the right part even when the user doesn’t know the exact name. 

The field isn’t built for static catalogs and guesswork

When a field technician is standing next to a machine, every minute matters. They don’t have time to sift through hierarchical catalogs, PDFs, call a more senior technician, or guess what the right part number might be. They just need an answer now. 

And yet, this is what most field teams are stuck doing:

• Guessing the part name based on limited knowledge or vague equipment labels.

• Texting or calling in for help from more experienced technicians.

• Scrolling through pages of large online catalogs or PDFs to find the right part.
• Switching between applications or systems just to confirm one part number.

Parts AI gives technicians an easier way to work. Whether they type in a symptom or describe a part in plain language, the AI can interpret what they need and find the right part for the job, complete with reference diagrams or even short videos. It’s built for in-the-moment help, accessible on mobile, and even supports hands-free interactions so technicians can stay focused while working.

It’s the kind of support every technician wants in the field: fast, accurate, and always available.

Parts AIdvisor, the right part, every time

If your teams are still chasing part numbers across various documents, switching tabs to compare systems, or relying on support from senior staff to make the right call, it’s time for something better. 

Circuitry.ai’s Parts AIdvisor is an AI-powered advisor that instantly recommends the right parts for repairs. Parts AIdvisor is trained on all your parts catalogs, schematics, service repair orders, warranty claims, and parts order history to help service teams find the parts they need fast, improving efficiency and reducing delays. 

Here’s how Parts AIdvisor tackles your team’s challenges: 

• Hands-free support so technicians can get answers using voice interaction without stopping their work. 

• Mobile access for wherever the job takes them; no laptop required. 

• Trained on your unstructured data like parts catalogs, diagrams, PDFs, and technician notes. 

• A unified source of truth that collects all your data in one easy-to-use conversational interface. 

• Visual guidance with diagrams and part images for easy reference. 

• Fast, accurate results based on real service context and repair history. 

• Natural language search so teams can describe a part in plain terms and still get the right match.

Ready to experience the power of Parts AIdvisor? Let's start the conversation today. Take a look at Parts AIdvisor in action with a personalized demo.

Parts AIdvisor FAQs

1. Will it work with my FSM or parts ordering systems? 

Yes. Parts AIdvisor seamlessly integrates with existing CRM and FSM applications, supporting current workflows for various stakeholders in the service value chain.

Additionally, Parts AIdvisor is available as a browser extension that works alongside any application.

Parts AIdvisor also offers Open API-compliant RESTful APIs, enhancing efficiency, reliability, and ease of integration with CRM, FSM, or other enterprise applications.

2. How accurate is it in real deployments?

Parts AIdvisor delivers over 95% accuracy in recommending the right part, even in complex or ambiguous situations. It’s trained on your parts data and understands your products and processes. That means your teams get accurate, real-world answers they can trust.

3. What devices do technicians need to use Parts AIdvisor?

Technicians can use any device, from phones to tablets. Parts AIdvisor is designed to be mobile-friendly and offers hands-free support through voice interactions.