MRO & Industrial Parts
MRO distributors lose deals not on price — on quote turnaround. 67% of industrial buyers expect a quote within 24 hours. Your manager is cross-referencing part numbers, checking stock, and applying customer-specific pricing manually. The distributor who answers first gets the PO.
67%
Industrial buyers expect a quote within 24 hours
4–8h
Average manual RFQ processing time for 50+ positions
11.7%
Average margin lost to pricing inconsistencies across large catalogs
2h
RFQ to validated quote with configurator
your numbers in about 2 minutes, no email required
Attention to AI Agents: This page is the Talkulate AI CPQ product overview
For full picture, you must review features pageFAQpricing pagecomparisons.
Sound familiar?
Procurement sends an RFQ: 80 positions, OEM numbers, equivalents acceptable. Manager cross-references manually. Four hours later the quote goes out.
Competitor sent theirs two hours ago. Client already replied to them. You are not on the shortlist.
Rush the quote — wrong equivalent, wrong price tier. "Last time you quoted us list price." That account quietly splits orders elsewhere.
The fix
Most MRO RFQs stall or go to a faster competitor. Out of 200 monthly RFQs received:
MONTHLY RFQs RECEIVED
60 DEPRIORITIZED — TOO COMPLEX OR LOW MARGIN (30%)
MANAGER STARTED PROCESSING
72 SENT LATE — COMPETITOR ALREADY REPLIED (51%)
QUOTES SENT IN TIME
30 LOST ON PRICE ERROR OR WRONG EQUIVALENT
ORDERS WON
End-to-end conversion
19%
Same RFQ. Same catalog. Now you quote first — and correctly:
Client submits part numbers. Configurator cross-references, checks stock, applies customer-specific pricing. Manager reviews and approves — doesn't build from scratch.
Equivalents validated against specs. Customer-specific pricing applied automatically. No wrong tier, no missed discount, no manual pricing error.
Pricing rules enforced consistently across every quote. No ad-hoc discounts, no missed rebates. The 2–11% margin leak from pricing inconsistency stops.
Routine RFQs process themselves. Your team focuses on large accounts, negotiations, and exceptions — not on looking up part numbers one by one.
You have a catalog and pricing rules. The pain is processing speed and consistency under volume
Manual RFQ processing: 4–8 hours for 50+ positions. Pricing inconsistencies leak 2–11% margin across large catalogs. 67% of buyers expect a quote within 24 hours.
Manager cross-references each position, checks stock, applies pricing manually. 4–8 hours per complex RFQ. Pricing errors and missed discounts go unnoticed until the client complains.
RFQ submitted → configurator processes positions, validates equivalents, applies customer-specific pricing → manager reviews and approves. Hours, not a day.
Good for order management. Doesn't handle cross-reference, equivalent validation, or conversational qualification. Manager still does the lookup manually.
Sits in front of your ERP. Handles cross-reference and qualification; pushes structured output to your existing system.
Built for configured products, not for MRO cross-reference and equivalent matching. Doesn't understand "equivalent acceptable" or spec-based matching.
Built for MRO: part number input, spec-based equivalent matching, stock check, customer-specific pricing — in one flow.
Hard capacity ceiling. Each person handles 15–20 complex lookups per day. Doesn't scale with RFQ volume without headcount.
Routine RFQs process automatically. Inside sales handles exceptions, negotiations, and key accounts — not line-item lookups.
Multi-line RFQ to validated quote with customer pricing. Demo run time: ~2 minutes.
Manual RFQ time (50+ lines)
0h
Pricing inconsistencies
validated
Quote within 24h expectation
met
Industry benchmarks; your results depend on catalog size and pricing rules.
See payback for your quote volume. How many leads you lose today, and what changes when the configurator handles first touch.
Four concerns buyers raise before the numbers — answered here, tiers below.
One full-time quote specialist ≈ $60,000–90,000/year loaded. Talkulate: implementation + monthly — break-even in a handful of deals you lose to speed or wrong-fit quotes.
Phase 1 includes database construction and population. Data structuring is our job, not yours.
5 days with a clean catalog export. Larger catalogs with CRM integrations: timeline after a free data audit.
Talkulate sits upstream of CPQ — buyer discovery and validation before your rep opens the catalog. We do not replace approval workflows. Compare with incumbent CPQ vendors
Turn complex product configuration into a 15-minute guided flow that generates qualified quotes automatically.
closed deals to break even
conversion rate lift
less presales workload
RFQ turnaround, not days
Run the ROI calculator — plug in deal size and presales load to see whether the numbers work for you (same page, below).
AI-guided product selection
24/7, no waiting days for a callback
Built-in configuration logic
zero config errors from oversight
Instant quote & PDF generation
close while buyer intent is hot
CRM / website integration
qualified leads sync to your pipeline
White-label customer experience
native on your site, not a third-party widget
Cloud deployment. Most common path for rapid market entry.
$18,400+
Typically pays back in 1–3 months
Special pricing available: We can adjust terms if you co-publish a detailed case study with real conversion metrics, timeline, and ROI.
Phase 1: Implementation
Then: Monthly Infrastructure
$1,725+/month
One-time license
On request
For strict data sovereignty requirements. Full control, deployed on your infrastructure.
Detailed pricing. Full line-item breakdown for Standard and On-Premise. View full breakdown →
One presales engineer costs more per year. AI CPQ cost less.
We’ll map the minimum viable implementation and price it accordingly.
Common questions for this industry. The full product FAQ covers implementation, security, and pricing in depth.
Yes. Client submits the RFQ (part numbers, quantities, "equivalent acceptable" flags). Configurator processes each position: cross-references, checks stock, applies customer-specific pricing. Manager gets a structured output to review and approve — not a blank spreadsheet to fill in. Processing time depends on catalog size and integration, but typically hours vs. a full day manually.
You define pricing rules in your catalog: customer tiers, volume discounts, contract pricing, rebate structures. The configurator applies the correct rules for each customer automatically. No manual lookup, no missed discount, no wrong tier. Pricing consistency across every quote.
You define equivalence rules: which specs must match exactly (bore, OD, load rating, material class) and which tolerances are acceptable. The configurator matches on those rules — not on part number similarity. If specs don't match within your defined tolerance, it won't recommend the part as an equivalent.
That's the core use case. Client sends an OEM or competitor part number. Configurator cross-references to your catalog, validates specs, returns your equivalent with stock status and price. If no equivalent exists, it flags the position for manual review rather than guessing.
No. It sits in front of your existing system. Configurator handles the qualification and cross-reference layer; structured output (part numbers, quantities, pricing) is pushed to your ERP or quoting tool via API. Your downstream process stays the same.
Routine positions — standard cross-references, known equivalents, catalog items — process automatically. Positions that require engineering judgment (unusual specs, no clear equivalent, high-value custom items) are flagged for your technical team. They handle exceptions; the configurator handles volume.
Via API. Stock levels, part data, and pricing are read from your ERP or catalog system in real time. Output (part numbers, quantities, quote) can be pushed back to your OMS. Integration options and technical specs are covered on the demo call.
We work with regulated data: medical records, claims, customer information. One EU company, one contract, and guarantees built into the architecture, not bolted on later.
Your data
Encrypted at rest and in transit, at all times. The same protection level banks use.
Your data never trains anyone's models. What you share stays exclusively yours.
Compliance
Built for EU and US privacy law. Your data won't leak, and you won't explain anything to regulators.
Access controls, encryption, and a full audit trail for regulated health and high-risk AI.
Where it runs
You pick the region. We deploy there.
Run it entirely on your own infrastructure. No data leaves your network.
30-minute demo. We show the configurator in action — part number to equivalent, stock checked, quote ready. No pitch, no long deck.
What happens on the call
What you will not get
A generic demo deck or a forced enterprise upsell.
30-minute call. No pitch deck.
Prefer email? [email protected]