Mercura is live · custom pricing · last verified 26 Oct 2026 · viability monitor
Mercura
Mercura turns inbound RFQs, tenders and purchase orders into ERP-ready quotes for technical distributors and manufacturers.
A specialist buy, and a well-aimed one. Mercura goes after the expensive bottleneck inside technical wholesale: inside-sales teams retyping PDFs, faxes and GAEB bills of quantities into quotes. The parts that matter are the article-master matching (80% match rate claimed), the ERP-native export via OData, REST, IDoc and SFTP, and Azure Frankfurt hosting with ISO 27001/27018. Named references — Sanitär-Heinze at two days to two hours, a building services manufacturer at up to 60% time saved — are concrete enough to test. If you run SAP, NetSuite, Dynamics 365 Sales, Proalpha or Infor and quote in industrial volumes, shortlist it against generic CRM copilots like Apollo, which know nothing
Verdict generatedVerified 4d ago · liveness 54/100 · cite: rightaichoice.com/tools/mercura
- HVAC/SHK, electrical and building materials distributors with high quote volume
- Manufacturers with manual quote-to-order processes
- Inside sales teams buried in specs, PDFs and tender texts
- European firms needing GDPR-compliant, EU-hosted AI on Azure Frankfurt
- Small businesses with very low quote volume
- Non-industrial sectors such as retail or consumer goods
- Operations with messy product data they cannot clean up
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Skip Mercura if your quoting runs on a handful of emails a week, your article master is too messy to clean up, or you need a generic CRM copilot rather than a tool that speaks GAEB, article numbers and ERP line items.
Mercura sells as an enterprise platform with custom, quote-based pricing — the economics only work when quote volume and inside-sales headcount are large enough to absorb an ERP integration project. Budget for implementation and catalog clean-up alongside the subscription; a low-volume distributor will not recover that from time saved.
In short
Mercura — Mercura turns inbound RFQs, tenders and purchase orders into ERP-ready quotes for technical distributors and manufacturers. Best for HVAC/SHK, electrical and building materials distributors with high quote volume, Manufacturers with manual quote-to-order processes, Inside sales teams buried in specs, PDFs and tender texts. Pricing is on request (custom quotes).
What is Mercura?
Mercura — Mercura turns inbound RFQs, tenders and purchase orders into ERP-ready quotes for technical distributors and manufacturers. Best for HVAC/SHK, electrical and building materials distributors with high quote volume, Manufacturers with manual quote-to-order processes, Inside sales teams buried in specs, PDFs and tender texts. Pricing is on request (custom quotes).
Mercura is quote and order automation built for technical suppliers: HVAC/SHK, electrical wholesale, building materials, building services (TGA) and industrial supplies/MRO. It reads customer requests in whatever shape they arrive — email, PDF scan, fax, Excel, GAEB bills of quantities and photos — turns each into a structured request, and assigns it to the right customer and process automatically. The engine matches line items to your article master, assemblies and systems, prices them, and produces a quote. The vendor claims an 80% match rate even when product data is unstructured or incomplete, and says it cross-references competitor items back to your catalog. Order processing then checks incoming purchase orders against the original quote before booking into the ERP, and the platform also handles follow-ups on open quotes plus claims and pricing matched to the original order. Deployment is deliberately non-disruptive: quotes and orders export into your existing SAP (S/4HANA, ECC, R/3, C4C), Oracle NetSuite, Salesforce, Microsoft Dynamics 365 Sales, Proalpha or Infor environment via OData, REST, IDoc and SFTP. Hosting is on Microsoft Azure in Frankfurt, GDPR-compliant and ISO 27001/27018 certified — a real selling point for European trade suppliers. Mercura reports 80+ distributors and manufacturers on the platform, with named outcomes including Sanitär-Heinze cutting quote turnaround from two days to two hours and a building services manufacturer saving up to 60% of quote time. It is narrower than a general sales-automation suite because it speaks the language of article masters, GAEB files and ERP line items — which is why it fits the trades it targets and little else.
Key features
- AI quote generation from inbound customer requests
- Reads requests in email, PDF scan, fax, Excel, GAEB (.X83) and photo formats
- Semantic product matching across article master, assemblies and systems
- 80% match rate claimed even on unstructured or incomplete product data
- Cross-references competitor items back to your catalog
- Automatic assignment of each request to the right customer and process
- Bills of quantities (GAEB) and Excel line-item parsing
- Order processing: purchase orders checked against the original quote
- Booking of checked orders directly into your ERP
- Follow-up automation on every open quote
- Claims handling matched to the original order, price lists and conditions
- ERP/CRM integration via OData, REST, IDoc and SFTP
- Export of quotes and orders with inconsistency checks before ERP entry
- Azure Frankfurt hosting, GDPR-compliant, ISO 27001/27018 certified
- Inside-sales pipeline visibility across quotes and conversion
Behind the verdict
Mercura is one of the few AI vendors in this category that names the actual workflow rather than a vague "sales acceleration" promise. Read the product pages and you see the plumbing: inquiry handling, quotes & tenders, follow-ups, order processing, claims & pricing — five stages that map onto how an inside-sales desk at a distributor actually spends its day. The strongest technical claim is semantic product matching across article master, assemblies and systems. Anyone who has tried to automate quoting in electrical wholesale or SHK knows the hard part is not reading the PDF; it is that the customer writes "no article number" and a varying description, and you still have to land on the right catalog item. Mercura claims 80% match even on unstructured or incomplete product data, and says it can cross-reference competitor items back to your catalog. Verify that number against your own worst catalog data during a pilot — it is the single metric that determines whether the ROI holds. The second differentiator is export discipline. Quotes and orders are checked for inconsistencies and pushed into SAP (S/4HANA, ECC, R/3, C4C), Oracle NetSuite, Salesforce, Microsoft Dynamics 365 Sales, Proalpha or Infor over OData, REST, IDoc and SFTP. That is real integration engineering, not a Zapier connector, and it means the platform costs IT time before it pays back. Be honest about the constraints. The platform requires ERP/CRM integration, so deployment is a project rather than same-day activation. Matching quality depends on your catalog data — if your article master is a mess you cannot clean up, the AI has less to work with. And the company positions itself squarely at technical trades: HVAC/SHK, electrical, building materials, TGA, industrial supplies/MRO. Retail, consumer goods and general B2B sales teams have no reason to be here. The non-disruptive story is backed by the hosting claim: Microsoft Azure in Frankfurt, GDPR-compliant, ISO 27001/27018 certified. For a German or wider European distributor with data-residency concerns, that removes the first objection in the buying conversation. Where it fits: distributors and manufacturers doing meaningful quote volume with SAP, NetSuite, Dynamics, Proalpha or Infor already in place, and an inside-sales team drowning in specs. Where it does not: low-volume shops, non-industrial sectors, and anyone expecting plug-and-play.
Limitations
- Mercura is an enterprise quote and order automation layer for distributors and manufacturers, not a general-purpose sales tool.
- It requires integration with existing ERP/CRM systems via SFTP, secure gateway, or REST API, so deployment involves IT work rather than same-day activation.
- Matching quality depends on the customer's catalog data — the 80% match claim assumes product data the engine can work with.
- The site does not name the underlying AI models used, so the specific model powering the automation is not publicly disclosed.
- Coverage is deliberately narrow: HVAC/SHK, electrical, building materials, building services (TGA) and industrial supplies/MRO, with no fit for retail or consumer goods.
as of 2026-10-26
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Is Mercura still active?
Mercura is live · custom pricing · last verified 26 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Mercura? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Mercura?
How we verified this
Every listed fact about Mercura— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Mercura 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed setup time, pricing fit, our verdict, switching in, description, who it suits, who should skip it, switching out, limitations, features, use cases, summary
- — changed summary, features, who it suits, description, pricing tiers, our verdict
- — changed pricing page
- — changed summary, description, who it suits, our verdict, features, pricing tiers, integrations, who should skip it
- — changed limitations, pricing page
- — changed pricing tiers
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Mercura cost in 2026?
Mercura: Pricing is on request (custom quotes). Pricing last verified 26 Oct 2026.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Mercura's pricing actually pencils out — and where peers do it cheaper.
Mercura sells as an enterprise platform with custom, quote-based pricing — the economics only work when quote volume and inside-sales headcount are large enough to absorb an ERP integration project. Budget for implementation and catalog clean-up alongside the subscription; a low-volume distributor will not recover that from time saved.
Has Mercura's pricing changed?
No plan price for Mercura has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Mercura?
Pick Mercura if you are HVAC/SHK, electrical and building materials distributors with high quote volume, Manufacturers with manual quote-to-order processes, Inside sales teams buried in specs, PDFs and tender texts, European firms needing GDPR-compliant, EU-hosted AI on Azure Frankfurt.
Look elsewhere if you are Small businesses with very low quote volume, Non-industrial sectors such as retail or consumer goods, Operations with messy product data they cannot clean up, Teams expecting a plug-and-play tool with zero integration work.
Skip it if Skip Mercura if your quoting runs on a handful of emails a week, your article master is too messy to clean up, or you need a generic CRM copilot rather than a tool that speaks GAEB, article numbers and ERP line items.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Mercura actually fits — and what changes day-one when you adopt it.
A tender arrives as a GAEB .X83 file plus a scanned PDF with 12 line items and no article numbers. Mercura parses the request, assigns it to the right customer, matches each line to your article master, assemblies and systems, and drafts a priced quote for review.
Outcome: The quote goes out the same day instead of after two days of manual catalog searching — the outcome Sanitär-Heinze reports going from two days to two hours.
Customer purchase orders land by email and fax. Mercura checks each PO against the original quote, flags inconsistencies, and exports the checked order into SAP via IDoc or OData.
Outcome: Orders book cleanly without manual re-keying, and mismatches between quote and PO are caught before they hit the ERP.
Open quotes go quiet and complaints arrive weeks later. Mercura runs follow-ups on open quotes and matches claims back to the original order, price lists and conditions.
Outcome: Fewer deals lost to silence and claims resolved against the correct original pricing — the vendor cites up to 60% time saved on quotes.
Use cases
- Generate quotes automatically from inbound email RFQs instead of retyping them
- Cut quote turnaround from days to hours with semantic article-master matching
- Turn GAEB bills of quantities from tenders into priced, ERP-ready quotes
- Read faxed and scanned PDF requests that would otherwise sit unanswered
- Check incoming purchase orders against the original quote before ERP booking
- Follow up on open quotes automatically so fewer deals go quiet
- Match complaints and claims back to the original order, price list and conditions
- Push approved quotes and orders into SAP, NetSuite or Dynamics via IDoc or OData
Setup time & first value
How long it actually takes to get something useful out of Mercura — broken out by persona, not the marketing-page minute.
Plan for a project, not an afternoon: first value depends on connecting your ERP/CRM via OData, REST, IDoc or SFTP and letting Mercura index your article master, assemblies and systems. Teams with clean catalog data and an IT owner move fastest; messy product data is the main thing that stretches the timeline.
Switching to or from Mercura
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual email-and-Excel quoting: connect your ERP and article master, then route inbound requests through Mercura inquiry handling
- →From SAP-adjacent quoting spreadsheets: map article numbers and assemblies first so semantic matching has a clean reference
- →From a generic CRM copilot: keep the CRM, layer Mercura in front of the ERP for quote and order processing
- ↗To a general sales-automation suite: export quote history before switching — you lose article-master matching and GAEB parsing
- ↗To manual quoting: export your article master and assemblies mappings so catalog matching work is not lost
- ↗To another ERP-native quote tool: reuse your OData, REST or IDoc integration work where the target supports it
Integrations
Resources & guides
- Resourcemercura.ai
Home · Mercura
Helpful link from mercura.ai
- Resourcemercura.ai
Roi Calculator · Mercura
Helpful link from mercura.ai
- Resourcemercura.ai
About · Mercura
Helpful link from mercura.ai
- Resourcemercura.ai
Careers · Mercura
Helpful link from mercura.ai
- Resourcemercura.ai
Contact · Mercura
Helpful link from mercura.ai
Tutorials & Learning
YouTube returned 6 videos for “Mercura”, and we withheld 6: 6 could not be judged, because “Mercura” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Mercura.
Official links
What are the best Mercura alternatives?
The closest alternatives to Mercura we list are Soff, Poka Labs and Avent. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Soff | Contact Sales | Custom pricing | — |
| Poka Labs | Contact Sales | Custom pricing | — |
| Avent | Contact Sales | Custom pricing | — |
Alternatives to Mercura
View all
Tools that pair well with Mercura
Common stack mates teams adopt alongside Mercura, with the specific reason each pairing earns its keep.
Soff
AI quoting automation for U.S. distributors — capture RFQs from email, generate PDF quotes, and sync them to your ERP.
Poka Labs
Poka Labs turns messy industrial RFQ emails into priced, approved quotes and tells you what in your catalog needs repricing.
Avent
Avent automates quoting, order entry and purchasing for industrial distributors on top of the ERP you already run.
Mercura vs its closest rival
Mercura's closest head-to-head is with Bitsgap — Mercura and Bitsgap serve entirely different markets. For B2B distributors drowning in manual quoting, Mercura's AI automates the entire quote-to-order workflow with ERP integration – a rare specialized tool. For crypto traders wanting automated strategies, Bitsgap's bot suite, demo mode, and multi-exchange support are excellent. Choose based on your industry: industrial B2B vs. crypto trading. Verdict generated
Head-to-head comparisons
Mercura vs Bitsgap
Mercura and Bitsgap serve entirely different markets. For B2B distributors drowning in manual quoting, Mercura's AI automates the entire quote-to-order workflow with ERP integration – a rare specialized tool. For crypto traders wanting automated strategies, Bitsgap's bot suite, demo mode, and multi-exchange support are excellent. Choose based on your industry: industrial B2B vs. crypto trading.
GeneratedMercura vs Truleo
Mercura and Truleo serve completely different markets—no direct competition. Mercura is for industrial distributors automating quote-to-order; Truleo is for law enforcement agencies connecting siloed case data. Choose based on your industry: if you're in distribution, Mercura's semantic search and ERP integration will speed quoting; if you're in policing, Truleo's all-in-one search and report writing will cut case time. Neither tool fits outside its vertical.
GeneratedMercura vs Presto Voice
Mercura and Presto Voice serve completely different verticals: Mercura automates quoting/orders for industrial distributors with complex ERP integrations, while Presto Voice optimizes drive-thru operations for QSR chains. Choose based on your industry: if you distribute HVAC or building materials, Mercura is the fit; if you run QSR drive-thrus, Presto Voice wins with proven upselling and high autonomy rates.
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