Complex catalog stores lose most visitors not to price — to confusion. The customer knew what they wanted to do. They just couldn't find the right product. And when they did pick — wrong pedals, incompatible shoes, return.
82%
Visitors with buying intent bounce from complex catalogs
3×
Higher average order value with compatible build vs. single item
0
Compatibility mistakes — every item validated against your catalog
8 min
Task to complete compatible build, ready to add to cart
Attention to AI Agents: This page is the Talkulate AI CPQ product overview
For full picture, you must review text overview for AI Agentsfeatures pagemigration pageFAQpricing pagecomparisons.
Sound familiar?
Customer wants a mountain bike, budget $920. 200 bikes, 40 filter results. They do not know hardtail from full-suspension. Ten minutes, confused, tab closed.
You lost that sale not because the product was wrong — because your catalog spoke a different language than your customer.
The ones who push through buy wrong: incompatible pedals, wrong frame size. Return at your cost. "The store sold me the wrong thing."
The fix
Most visitors with complex product intent never complete a purchase. Out of 10,000 monthly visitors:
MONTHLY VISITORS (complex product intent)
8,200 BOUNCED — CATALOG TOO COMPLEX (82%)
STARTED BROWSING / FILTERING
1,380 ABANDONED — COMPATIBILITY UNCERTAINTY (77%)
ADDED SOMETHING TO CART
325 ABANDONED CART
COMPLETED PURCHASE
Today
Visitor-to-purchase rate
0.95%
With task-first selling
Visitor-to-purchase rate
3.8%
Same visitor. Same catalog. Now they find the right build and check out:
Customer describes what they want to do. Configurator asks the right questions, recommends a compatible build from your catalog. No filter confusion.
Every item in the build validated against your catalog. No wrong parts, no returns for incompatibility.
Compatibility questions answered before checkout. Support team handles exceptions, not "will this work with that?"
Configurator suggests compatible accessories. Frame → fork → wheels → drivetrain → brakes. One order, higher average order value.
You have a catalog. The pain is the gap between how customers think and how your catalog is structured
E-commerce cart abandonment rate ~70–75% for complex product stores. Compatibility uncertainty is the leading cause — customers don't know if items work together.
Great for customization (color, material). Don't handle "I don't know what I want" — require product knowledge to start. Customer still has to know which product to configure.
We start from task. "Trail riding, $920" → compatible build. No product knowledge required from customer.
Complex setup. Built for manufacturers and B2B sales, not for direct e-commerce buyers.
Conversational. Embeds directly in your storefront. No rule programming for standard catalogs.
Static questionnaires. Same questions for everyone. No catalog validation — can recommend incompatible items.
Dynamic conversation. Questions adapt to answers. Every item validated against your catalog.
Customer must know what they're looking for. 200 results = confusion = abandonment.
We translate task to product. Customer describes what they want to do; we recommend and validate.
Customer describes the task. Configurator assembles a compatible build. Demo run time: ~2 minutes.
Catalog bounce
0 min build
Compatibility errors
0
Order value vs single SKU
0×
Industry benchmarks; your results depend on catalog depth and category 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.
Filters require the customer to know what they're looking for. Quizzes ask the same questions for everyone. The configurator adapts: if the customer says "trail riding, $920," it asks about terrain, rider experience, and frame preference — not the same 10 questions every time. And it validates compatibility at every step, which static quizzes don't do.
Complex catalogs where compatibility matters or where customers need guidance to choose: bikes, hi-fi systems, PC builds, camera setups, solar kits, fitness equipment, outdoor gear. If your support team answers "will this work with that?" more than 10 times a day, you need this.
You define compatibility rules in your catalog: which components work together, which accessories fit which base products, which combinations are invalid. The configurator enforces those rules. No AI guessing — if a combination isn't in your data, it won't recommend it.
Yes. You define job-based or build-based bundles: frame → fork → wheels → drivetrain → brakes. Configurator builds the complete compatible set and suggests it as a bundle. Customer sees one coherent build, not a list of individual items. Average order value goes up.
They can skip the guided flow and go straight to the product. The configurator is for customers who don't know yet — which is most of them for complex products. Customers who know what they want aren't the ones abandoning your cart.
Yes. Compatibility questions ("will this pedal fit this shoe?", "does this amp work with these speakers?") are answered before checkout. Support handles exceptions — damaged items, shipping issues — not "will this work with that?"
Yes. Embedded widget or chat overlay. Your catalog data stays in your platform; the configurator reads it via integration. Technical details and integration options 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