Auto parts distributors lose deals not on price — on response time. Every fitment check that goes through a manager is a race you might lose. The workshop in the bay doesn't wait.
30 min
Average manual fitment check — per request
5 min
Fitment validated + quote ready with configurator
0
Wrong parts when fit is checked against your catalog
71%
Customers who got a wrong part never come back
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Sound familiar?
Workshop sends a fitment request. Manager cross-references vehicle, engine variant, stock. 25–40 minutes if nothing goes wrong. Meanwhile the workshop called two other distributors.
The distributor who answered first — with a confirmed fit and a price — got the order. You replied an hour later. "Already sorted, thanks."
When the check is rushed — wrong part ships. Return at your cost. Credit note. Apology. 71% of customers who get a wrong part never order from that supplier again.
The fix
Most fitment requests never become quotes. Out of 3,000 monthly parts lookups:
MONTHLY PARTS LOOKUPS
2,790 SELF-SERVED OR EXITED (93%)
"WILL IT FIT?" REQUESTS SENT
138 GAVE UP — WAIT TOO LONG (66%)
MANAGER CHECKING FITMENT
48 STILL IN QUEUE
QUOTES SENT
Today
Lookup-to-quote rate
0.80%
With guided quoting
Lookup-to-quote rate
3.2%
Same request. Same catalog. Now you answer first — and correctly:
Year/make/model or VIN. Fit validated. Quote ready. Manager handles exceptions, not routine fitment checks.
Applicability checked automatically against your catalog. No returns for wrong fit. Margins stay intact.
One configurator handles hundreds of requests. Capacity grows; headcount doesn't.
Configurator suggests related parts for the same job. Filter → oil → hoses. One quote, one order.
You have a catalog. The pain is fitment speed and accuracy
Auto parts have the highest return rate in retail — 19.4%. Wrong fitment is the main cause. 71% of customers who get a wrong part never order from that supplier again.
You get fit data — not a full quote, upsell, or qualification in one flow. Manager still has to build the quote manually.
Fit + quote + related parts in one conversation. VIN or year/make/model. One flow from "will it fit?" to validated quote.
Manager digs through the catalog. 25–40 min per request. Doesn't scale under volume.
Conversation-based. Fit validated automatically, wrong parts excluded. Quote in 5 minutes.
No self-service. Hard capacity ceiling. Competitor answers while you're still checking.
Self-service quote with validated fit. Manager handles exceptions and complex cases only.
50K SKUs in dropdowns don't work for fitment. Customer can't navigate it.
Conversation. Customer describes the vehicle and job — configurator returns validated options. No dropdown maze.
Workshop describes the vehicle and job. Configurator returns a validated quote. Demo run time: ~2 minutes.
Fitment check time
0 min
Wrong parts shipped
0
Repeat business after wrong fit
validated
Industry benchmarks; your results depend on catalog coverage and request mix.
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 5-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.
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.
$1,150+/month
Scoped to your setup: Final amount depends on conversation flow and monthly dialog volume.
At go-live
Every month
One-time license
Special pricing available: We can adjust terms if you co-publish a detailed case study with real conversion metrics, timeline, and ROI.
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.
You load your catalog with fitment data — year/make/model/engine mappings, OE cross-references, compatibility rules. The configurator validates against that. No AI guessing: if the fit isn't in your data, it says so rather than guessing.
They can start with a part number or OE reference. Configurator cross-references to your catalog, confirms fit, and returns compatible options. If the part number is ambiguous (fits multiple vehicles), it asks for the vehicle to confirm.
Yes. You define the cross-reference logic in your catalog. Customer asks for an OE part number — configurator returns your aftermarket equivalent with fit confirmed.
Fleet manager describes the fleet (vehicle types, models, years). Configurator builds a multi-line quote: parts per vehicle, quantities, fit validated for each. One quote, not 20 separate requests.
The configurator asks clarifying questions when fitment depends on a variant: "Is this the 2.0 dCi or 1.6 dCi?" It narrows down to the correct part before quoting. No wrong parts shipped because of an ambiguous fitment.
Yes. You define job-based bundles in your catalog: oil filter → oil + drain plug + gasket. Configurator suggests the full job kit. Customer gets one quote, you get a larger order.
Via API or embedded widget. Quote output (part numbers, quantities, prices) can be pushed to your OMS, ERP, or CRM. 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.
What happens on the call
Prefer email? hello@r-sun.ai