Quoting.ai vs Parspec

What job does each tool actually do?

Parspec is built for the bid desk. It reads construction bid packages, RFQ documents, and schedules, extracts the bill of materials, matches products and alternates against a catalog of 3.2M+ cut sheets from over 4,000 manufacturers, prices from your quoting history, and turns out polished multi-scope quotes, submittal packages, and O&Ms. Since April 2026 it also manages the project after the award. Its customers are MEP distributors and rep agencies, overwhelmingly electrical and lighting: 300+ distributors and rep agencies, 8 of the top 10 US electrical distributors, and roughly $30B quoted in the last 12 months by their own count.

Quoting.ai is built for the order desk. It takes the RFQs that arrive all day by email, PDF, WhatsApp, fax, and voice (including Spanish, Hebrew, and Yiddish voice notes), matches lines against your item file, applies the customer's price level from the ERP, and routes the result through an approval inbox before writing it back as a quote or sales order. Its verticals are lumber, plumbing/PVF, electrical, and HVAC distribution.

So the honest frame is project bid quoting versus RFQ-to-order automation, not a feature war. Submittals and O&Ms, cut-sheet alternates matching, and post-award project management are Parspec strengths Quoting.ai does not offer. Multichannel intake, order entry, and governed ERP write-back are Quoting.ai's job, and Parspec's quoting page does not describe that flow.

• ▪Parspec: bid package in, quote plus submittal plus project out
• ▪Quoting.ai: inbound RFQ in, ERP quote or sales order out
• ▪Overlap is narrow; many electrical distributors run both kinds of desk

Who writes back to your ERP?

Parspec lists platform-level integrations with Eclipse, Prophet 21, SAP, and custom systems, and it holds SOC 2 Type II. As of July 2026 its quoting page does not document a quote-to-order write-back flow; the product's endpoint is the quote, the submittal, and the project package. If you run Eclipse or Prophet 21 and your work is bid packages, that integration story is aimed squarely at you.

Quoting.ai's write-back is live for DDI Inform and Spruce only. Epicor, NetSuite, and SAP are in development, and an ERP-light mode covers other systems without write-back. That means a plain trade: Parspec connects to the big electrical ERPs today for its bid workflow, while Quoting.ai is the one that pushes finished quotes and sales orders into an ERP, and does so today only on the two LBM systems. Neither tool covers the other's ground here.

How do you know the AI got it right?

This matters most when software writes into your ERP. Quoting.ai publishes a Human Edit Rate, the measured percent of AI lines humans actually correct, shown to the customer, and runs three modes: Assist, Guarded, and Autopilot, so automation expands only as the measured error rate earns it.

Parspec publishes no equivalent accuracy-governance model as of July 2026: no edit-rate style metric, no graduated autonomy modes, and the human review step is not explicit on its quoting page. In fairness, the stakes differ. A Parspec quote is assembled and sent by an estimator who is looking at it; a transactional order flow can push hundreds of lines a day, which is why a measurable control model is table stakes for order entry and less central for bid quoting.

What does each one cost?

Parspec's pricing is not published on their site as of July 2026. Third-party listings describe a platform-credits usage model with unlimited users, and Capterra lists dollar tiers, but those are third-party-reported and not verified on Parspec's own site, so treat them as unconfirmed.

Quoting.ai publishes its pricing method with example scenarios at /pricing. Setup is two steps plus an included white-glove kickoff call. One more disclosure in the same spirit: Quoting.ai has zero named customers publicly today, while Parspec's logo wall is long and specific. If reference-heavy procurement is your process, that difference is real.