Start from your scenario, not a blank slate.
Generic CPQ hands you an empty rules engine and six months of implementation. ServiceCPQ starts from a pre-packaged knowledge graph for your industry — its products, options, rules, terminology and vocabulary already modelled — so you improve on a working configuration instead of building from scratch. Conversational, knowledge-graph-driven, and adaptive to the way you sell: configure-, make-, measure- or engineer-to-order.
A blank slate is not a head start.
Most CPQ tools are empty rules engines. You spend months teaching them your products before they return a single quote — and re-teaching them every time the catalogue changes.
Every rule is hand-coded up front and re-coded every time your products change. You maintain the tool instead of selling with it.
You wait half a year to even see how the product behaves for your business — configuring a blank slate before a single real quote goes out.
Generic tools don't know your terminology, options or the relationships between them, so every vocabulary and rule has to be taught from zero.
A flat option list can't model made-to-measure or engineered-to-spec products — the exact places where quoting is hardest and margin is won or lost.
You start from a working model of your industry.
ServiceCPQ ships with a pre-packaged knowledge graph for your sector — so the configurator already understands your products, rules and language on day one, and you refine it instead of building it.
Ships with your sector's products, options, compatibility rules, terminology and vocabulary already modelled — so you start from a working configuration and improve it, not build from scratch.
Variants are generated from the knowledge base and its rules — not hand-built one at a time — so the catalogue stays consistent as the product line grows.
The graph adjusts to the mode you're actually in — configure-, make-, measure- or engineer-to-order — and applies the right workflow and validation automatically.
The industry graph carries the vocabulary of your sector, so your sales team, your dealers and your buyers all speak the same language in the quote.
One graph adapts to your manufacturing mode.
The same knowledge graph reasons across configure-, make-, measure- and engineer-to-order — and routes each quote to the right workflow automatically.
A defined range with selectable options. Rules resolve valid combinations into a locked, priceable BOM — no engineering involvement for standard variants.
A base platform with non-standard variants. Flagged items route to engineering review; the quote is conditional on sign-off.
Dimensioned, measured products — custom windows, cabinets, fenestration and building products configured to exact size, then matched to the right maker.
Every project designed to spec. AI quote-matches against your history (70–95%), auto-generates 2D drawings without CAD licences, and hands off to ERP.
Conversational input, AI matching, graph reasoning.
The intelligence that lets a rep, a dealer or a retailer build a correct, priced configuration in minutes — even for measured and engineered products.
Describe what the customer needs in plain language. The AI asks only the questions that matter and returns a valid, priced configuration — no rigid forms.
Matches each request against thousands of historical quotes with 70–95% similarity scores, so repeat and near-repeat work is quoted in minutes and gets smarter over time.
For catalogue companies and retailers selling manufacturers' custom products — a DIY retailer selling made-to-measure windows or cabinets — the engine maps each measured requirement to the right manufacturer, product and supplier automatically.
Products, options, rules, pricing and the installed base as one connected graph, so every quote is consistent, explainable and correct across channels.
A complete solution quote — as if you’re sitting in front of the customer.
ServiceCPQ doesn’t stop at the base product. It builds the whole solution — accessories, add-ons, attachments and after-sales — then recommends price and margin, guides the discount, and lets you negotiate line by line, live, the way a great salesperson would across the desk.
AI-native CPQ vs a generic rules engine.
The difference isn't a longer feature list — it's where you start. A pre-packaged industry knowledge graph, versus an empty tool you configure for six months.
| Capability | Generic / rules-based CPQ | ServiceCPQ |
|---|---|---|
| Starting point | Empty rules engine, 6-month build | Pre-packaged industry knowledge graph |
| Industry terminology & vocabulary | Taught from scratch | Built into the industry graph |
| Variant creation | Hand-coded rules per variant | Generated from the knowledge base |
| Configuration modes | One mode, hand-coded | CTO · MTO · MTM · ETO on one graph |
| Conversational input | Rigid forms and picklists | Natural-language, AI-guided |
| AI quote & supplier match | Manual lookup | 70–95% match + supplier match for measured products |
| Solution quote with margin & discount | Base product, manual pricing | Accessories, after-sales, margin & discount guidance line by line |
Frequently asked questions
Generic CPQ hands you an empty rules engine and a six-month implementation to configure it. ServiceCPQ starts from a pre-packaged knowledge graph for your industry — products, options, rules, terminology and vocabulary already modelled — so you refine a working configuration instead of building from a blank slate. It's conversational, knowledge-graph-driven, and adapts to how you actually sell.
It's a connected model of your products, options, compatibility and pricing rules, industry terminology and installed base. Instead of hand-coding and re-coding rules, ServiceCPQ's AI reasons over the graph — which is why it handles CTO, MTO, MTM and ETO on one engine and stays consistent as your products change.
Yes. Make-to-measure covers dimensioned products configured to exact size — custom windows, cabinets and fenestration. Engineer-to-order uses AI quote matching (70–95% accuracy) against your historical projects, automatic 2D drawing generation without CAD licences, expert review and ERP handoff.
Yes. AI supplier match is built for exactly that — a DIY retailer or catalogue company selling made-to-measure windows, cabinets or any product customised to measurement. The engine maps each measured requirement to the right manufacturer, product and supplier automatically, so the retailer quotes a custom product without owning the factory.
Weeks, not six months. Because you start from a pre-packaged industry knowledge graph rather than a blank slate, the first working configurator reflects your product family early — then you refine the configuration requirements on top of a model that already works for your industry.