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AI for manufacturers

The aftermarket calls never stop. Neither does she.

Order status, spare parts, warranty claims, breakdowns, dealer enquiries. The calls that arrive all day, rarely need judgement, and always need a person. An AI voice agent takes them on the first ring, in the caller's language, and writes down what happened.

22 Indian languages in one agent No ERP project to start 14 days to a working line
The switchboard problem

Your best service engineer spends the morning reading order numbers.

Manufacturing inbound is not complicated. It is relentless, repetitive, and it lands on people whose actual job is somewhere else.

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The same four questions

Where is my order. Is the part in stock. How do I claim. The machine stopped. Four intents, most of the call volume, and every one answered from a screen the caller cannot see.

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Calls outside the shift

A line stops at 9pm and the call goes to voicemail. The claim gets filed tomorrow, the escalation lands the day after, and the customer has already told three people.

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The note nobody wrote

Half the warranty claims arrive missing the serial or the photos, so first touch becomes three touches before anyone looks at the fault.

Live demos

Five calls a manufacturer gets every day. Hear each one handled.

These run in your browser and take about a minute each. No signup, no recording of you.

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Where is my order?

The most common inbound call in B2B manufacturing. Order number in, current stage and a realistic date out, with the promise logged.
Hear this demo →

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Spare parts ordering

Part number, machine serial, or a description of the broken thing. It identifies the part, confirms availability and takes the order.
Hear this demo →

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Warranty claim intake

Serial, fault, date of purchase and photos, requested on the call. The claim reaches your team complete on the first touch.
Hear this demo →

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Breakdown dispatch

Takes the fault call, captures the asset and symptom, and routes to the right engineer with the context written down.
Hear this demo →

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Product enquiry, industrial

A hose distributor's enquiry line: specification questions, application fit, and the quote request captured properly.
Hear this demo →

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Complaint hotline

A wire rope complaint line that captures batch, application and failure mode, so quality gets a usable report instead of an angry summary.
Hear this demo →

How it works

It answers from your data, or it says so.

An agent that invents a ship date costs more than the call it saved. The design point is what happens when it does not know.

Step 01

Your part and order data

A nightly export is enough to begin: open orders, stages, part master, stock. A live ERP connection makes it fresher and can come later.

Step 02

The call, handled end to end

It greets, identifies the caller, finds the order or part, answers, and confirms on WhatsApp where that helps. It interrupts politely and waits like a person does.

Step 03

A record, not a recording

Every call leaves structured fields: intent, order or part, what was promised, and whether a human is needed. Your team reads outcomes and acts, instead of listening back.

If you run SAP

The same agents, wired to your ERP.

Most manufacturers we work with run SAP, so the order, part and status questions have a natural source. There is a page for exactly that: a voice agent on the phone, an email agent that turns customer POs into sales orders, and plain-language answers on your SAP reporting data.

1
Order entry stops being typing

Customer POs arrive as email and PDF. The agent validates them against master data and creates the sales order, holding anything that fails a check.

2
Status answers come from the system

Whatever your landscape allows: a service, middleware, or a scheduled export. The caller gets an answer either way.

3
No basis project to begin

Nothing is installed inside SAP for a pilot. That is usually the difference between starting this quarter and discussing it next year.

See AI agents for SAP →

# a spare parts call, as your team receives it caller: dealer, Coimbatore language: Tamil, switched to English at 00:26 asset: serial UM-4471-C part: idler bearing, 6208-2RS stock: available, Pune warehouse action: order captured, qty 4 promised: dispatch confirmation on WhatsApp human_needed: no
Written for your side of the factory

What we have published on manufacturing calls.

01

Voice AI on the factory front desk
Three manufacturer deployments, and what each one actually changed.

02

Where's my order?
The number one inbound call at B2B manufacturers, and how to take it off your team.

03

Stop the spare parts phone tag
What the aftermarket gap costs, and where the calls leak.

04

The warranty call nobody wants to make
Why first-touch intake decides the cost of the whole claim.

Questions we get

What plant and service heads ask first.

Q

What does a voice agent for manufacturers handle?
Order status and ETA, spare parts, warranty intake, breakdown dispatch and dealer enquiries. The calls that arrive constantly and rarely need judgement.

Q

Does it need our ERP?
Not to start. A scheduled export answers status and stock questions. A live SAP or ERP connection makes it fresher and can be added later.

Q

Regional languages for dealers?
One agent covers 22 Indian languages and switches mid-call when the caller does.

Q

What happens when it cannot answer?
It hands off with the context captured: caller, part or order, fault described, what was promised. Your engineer starts from a complete note.

Q

How long to go live?
Fourteen days for a first line on your own part numbers and order data, usually starting with one call type.

Q

What does it cost?
It follows call volume and the number of call types, not headcount. We size it with you before anything is signed.

Pick your loudest call type. We'll answer it first.

Most manufacturers start with order status or spare parts, because the volume is obvious and the answer is already in a system. Bring a week of call logs and we will tell you which one pays back fastest.