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Runs on Opero
- AI Chat
- Knowledge autocapture
- Document processing
Answer technical pre-sales questions instantly. Generate quotes against live parts and contract data.
The deal you lost last quarter wasn’t lost on price. It was lost when the customer asked a controller-firmware question and your rep said “let me get back to you” — and the competitor’s rep didn’t. Opero closes the technical-answer gap inside the meeting, and the RFP-coverage gap inside the quarter.
Reps stop leaving meetings without answers. A technical question on a 2022 model gets the right answer from the right manual, with a citation the rep can forward. Quotes that used to need a parts manager get drafted against live parts and contract data while the rep is still on the call. The RFP team responds to opportunities they used to no-bid because the first draft now lands in hours, not weeks. The bid manager spends the morning on the 20% that wins or loses — pricing, scope carve-outs — and the agent handles the 80% boilerplate.
Sales operations reads two charts. Time-to-quote per opportunity — from inbound request to signed-by-rep quote, tracked daily. RFP coverage rate by product line — responses issued divided by opportunities fitting the ICP, reviewed monthly. The vanity metric that stays off the chart: “questions answered by the agent” — looks good in a vendor deck, moves nothing on the comp plan. The number that matters is coverage; the number that moves the close rate is technical-answer turnaround.
A sales rep at a Nordic forklift dealer is mid-meeting with a fleet customer. The customer asks whether the new battery management firmware is backward-compatible with the older charger inventory. The rep opens Opero, types the question, and gets a one-paragraph answer with two citations — the firmware release notes and the charger compatibility matrix. She forwards both to the customer’s fleet controller before leaving the room. The controller passes the citations to the plant engineering team; by the time the rep is back at her desk, the account has moved to the next stage. The 200-page RFP lands the next week; the bid manager has a compliance matrix by Tuesday morning and the response goes out Wednesday close.
The number on the comp plan is time-to-quote on inbound — Opero collapses the question-to-citation loop from days to seconds inside the meeting, and drafts a parts-and-contract-aware quote against the same source data. For the bid team backing the rep up, typical pilot throughput is up several-fold per bid-manager-week (illustrative — varies with corpus). What changes the quarter is coverage: opportunities the team used to no-bid because the bandwidth wasn’t there. The agent owns the keystrokes; the human owns the commitment. Full argument in the RFP playbook.
Three pages carry the rest of the argument: the bid engine, the sector where dealer-network patterns hit hardest, and the long-form playbook on why coverage — not throughput — is the real win.
Ticket deflection, first-contact resolution
View use caseService revenue, margin, retention
View use caseDiagnosis, parts, knowledge in your pocket
View use caseUptime, downtime, root cause
View use caseRFQ throughput, supplier reach
View use caseDispatch, escalations, SLA
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…”
Runs on Opero
“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
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