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Runs on Opero
- AI Chat
- Knowledge autocapture
- Document processing
Prepare RFQ answers and purchase requests from approved information while keeping negotiation, spending decisions, and final commitments with your team.
A request for quotation (RFQ) can contain hundreds of requirements. Preparing a response means finding product details, certificates, previous answers, supplier information, prices, and contract terms across several departments.
At the same time, internal purchase requests may arrive without the correct part, supplier, cost centre, or approval.
Opero prepares the routine information and sends exceptions to the right people. Procurement professionals keep control of negotiation, supplier choice, pricing, and every final commitment.
Opero reads the customer’s Word, Excel, or PDF document and builds a checklist of the questions and requirements. It drafts standard answers from approved previous responses and company documents, with a link to each source.
Questions involving price, margin, delivery, legal terms, or missing evidence are flagged for review. Opero does not quote a price or submit the response on its own.
The team can spend more time evaluating the opportunity and negotiating the offer instead of copying standard paragraphs.
For internal purchasing, Opero can collect the item, quantity, supplier, stock status, contract, cost centre, and reason for purchase before the request reaches an approver.
If information is missing, it asks the requester. If the amount exceeds a limit or the supplier is not approved, it routes the request according to your policy.
The approver receives a complete request with the supporting information attached.
You define:
Every draft, change, approval, and submission is recorded with the person and time.
Useful measures include the time needed to prepare a first draft, the share of suitable RFQs answered, approval time, purchase requests returned for missing information, and exceptions by supplier or category.
These measures show whether the process improved. The number of AI-generated paragraphs does not.
Faster answers without losing the human handover
View use caseBusiness outcomes, controlled risk, and measurable adoption
View use caseAnswers, service history, and parts at the machine
View use caseClear handovers, recurring problems, and accountable actions
View use caseFaster technical answers, quotes, and bid preparation
View use caseFewer avoidable escalations and faster technician support
View use case
Runs on Opero
Runs on Opero
Runs on Opero
Runs on Opero
“It genuinely works. When I chat with it, I get the knowledge I need — instead of calling the office and asking a hydraulic engineer. When it comes to solving a specific problem…”
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“A technician with limited product knowledge found the right solution through the Opero AI agent and resolved the issue without interrupting a colleague who was out with customers…”
Runs on Opero
Runs on Opero
Runs on Opero
“It is a true pleasure collaborating with Opero, who deliver AI solutions of the absolute highest quality. Their deep technical expertise combined with a fantastic understanding of…”
Runs on Opero
Runs on Opero
Runs on Opero
Bring one fault that keeps coming back. We run it through Opero with you.