Case StudiesManufacturing

Find one of thousands of partswith a single sentence

From dynamic extraction out of product manuals to intelligent after-sales Q&A, NextAI turns the engineer’s brain into an organizational asset.

Manufacturing

Turn Manufacturing Experience into Enterprise Assets

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Product manuals are always being chased by change

A single flagship product line can involve thousands of components, hundreds of drawings, and dozens of process documents. Every engineering change requires sales quotes, service manuals, and BOMs to be realigned.

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Service knowledge is privately held

When a machine fails onsite, newer engineers often call the veteran who has seen it before instead of checking documentation. Once that veteran retires, the knowledge disappears.

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Sales pricing falls behind reality

Pricing strategy and optional configurations may already have changed, while frontline sales is still quoting from a manual that is months out of date.

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Cross-functional teams live in document hell

R&D, sales, and service each maintain their own version of product information. The same component can have three versions of truth, and nobody is confident in any of them.

Knowledge extraction

Intelligent product manual extraction engine

The engine automatically extracts structured product data from PDF, Excel, Word, and CAD drawings, then organizes it into a multidimensional graph of parts, specs, price, fit, and process. New documents trigger diff detection and owner confirmation.

Field retrieval

Find parts with one sentence

Sales can describe required fit, heat resistance, diameter, or other constraints in natural language and instantly receive matching models together with current pricing and lead times.

Service enablement

After-sales knowledge base and troubleshooting assistant

Senior engineers’ experience is converted into structured troubleshooting paths so newer engineers can be guided step by step, just like working beside a veteran.

Accuracy assurance

Authoritative validation mechanism

Manufacturers cannot tolerate confident but incorrect AI answers. With designated engineer approval, only validated responses are elevated as authoritative answers.

Manufacturing

Become the Authoritative Entry Point for Product Knowledge

Client background

A large industrial manufacturer

The client is a long-established precision component manufacturer serving automotive, aerospace, and energy equipment sectors. It generates billions in annual revenue, carries close to a thousand product models, and operates sales, service, and technical support teams across more than twenty offices nationwide.

The challenge

Its core pain point was surprisingly concrete: “Nobody can say clearly how many products we actually have.” One product list lived in PLM, another in the sales quoting system, and a third in service documentation. Every time a customer asked whether a part was still in production, sales had to make three phone calls.

Worse, product data changed every month because of process upgrades, material changes, supplier adjustments, and price movement. The traditional spreadsheet maintenance model required manual updates from dozens of people each time, with execution below sixty percent.

What we built

We did not build a brand-new product database. We turned NextAI into the intelligence layer above all existing systems.
PLM, quoting systems, and service manuals were synced into the NextAI knowledge engine. Each product line was assigned an authoritative owner. When data changed, the owner no longer had to edit spreadsheets. They simply confirmed the new information inside the AI assistant, and the authoritative version updated automatically.
A salesperson could ask onsite, “Is the XX-2035 sealing ring still available? What is the latest price?” The AI returned the answer in seconds, including availability, current price, lead time, substitute model, and the responsible engineer who confirmed it.

What the client gained

Sales quote response time dropped from an average of forty minutes to thirty seconds.
Version consistency of product data rose from sixty percent to ninety-eight percent.
First-time troubleshooting success for service engineers improved significantly.
Veteran engineers could retire while leaving thirty years of experience inside the knowledge base.

Manufacturing

Capture the core of industrial know-how

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Multi-format document parsing

PDF, Excel, Word, and CAD files are parsed into one shared knowledge layer.

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Structured data extraction

Table-pattern recognition and structured extraction convert manuals and drawings into queryable fields.

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Industrial system connectivity

The solution is ready to connect with PLM, ERP, CRM, and MES environments.

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Authoritative approval loop

Designated-owner review keeps answers reliable and traceable at industrial accuracy standards.

Manufacturing

Whether you build equipment, precision components, or new-energy systems, we are willing to start by looking at what your product data actually looks like.