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Self-Service CPQ

A B2C-style flow for B2B products. Buyers configure complex offerings, see real prices, and generate quotes themselves — without a sales rep. Mercura's rules engine keeps every self-service quote valid and on-policy.

Self-Service CPQ

24/7

Buyers configure and quote on their own schedule

0 reps

Quotes generated without sales involvement

Same rules

Self-service quotes governed by the same policy as sales-led quotes

The Challenge

B2B Buyers Want to Quote Themselves — Sales-Led CPQ Cannot Serve Them

B2B buyers in 2026 increasingly behave like B2C buyers in their early evaluation. They research, compare, and shortlist independently — often deep into the buying journey before they want to talk to a salesperson. For complex configurable products this creates a problem: traditional CPQ workflows assume a sales rep is in the loop, gathering requirements, configuring the product, and producing the quote.

When the buyer cannot self-serve, they either delay the engagement until they are forced to speak to sales, or they move to a competitor whose buying experience matches their preference. Either way, the manufacturer loses pipeline visibility, deal velocity, and sometimes the deal itself.

Building a self-service quoting experience is hard because the configurator must be commercially safe without supervision: every configuration must be valid, every price must reflect approved pricing tiers, every quote must be a quote the company is prepared to honour. The technology has to do, automatically, what an experienced sales engineer does manually.

Manufacturers who solve self-service well unlock a category of buyers and a sales motion their competitors cannot match. Those who do not, lose deals to ones who have.

How It Works

How Self-Service CPQ Works in Mercura

Mercura's self-service CPQ exposes the same configuration and pricing engine that powers sales-led quoting — directly to buyers, with no sales rep required. Buyers access a configurator (embedded in your website, a buyer portal, or a marketplace) and walk through a guided configuration flow. Rules-based validation ensures every selection is compatible; dynamic option filtering removes invalid combinations before they can be selected; real-time pricing reflects published tier rates, volume discounts, and any customer-specific pricing the buyer is entitled to. The buyer generates a full quote document — including line items, configurations, pricing, terms, and validity — without sales involvement. Quotes that fall within published pricing tiers are commercially binding; quotes that exceed thresholds (custom discounts, non-standard terms) are routed to sales for approval. The same audit trail, governance, and approval workflows apply as in sales-led quoting.

What's Included

Key Capabilities

  • Buyer-facing configurator — embeddable in website, portal, or marketplace
  • Same rules engine as sales-led CPQ — no policy gap
  • Real-time published pricing, volume discounts, customer-specific rates
  • Quote document generation — full PDF without sales involvement
  • Threshold-based approval routing — sales only engaged when needed
  • Buyer accounts with quote history, saved configurations, and reorder support
  • Multi-currency and multi-language buyer experience
  • Analytics on self-service quote conversion, abandonment, and approval rates

The Difference

Before and After Self-Service CPQ

Without Self-Service CPQ
  • Every quote requires sales involvement — bottlenecks during peak demand
  • Buyers forced to talk to sales before they are ready — many disengage
  • Quoting bound to business hours and rep capacity
  • No way for buyers to explore configurations independently
  • Lost deals to competitors with self-service quoting
With Mercura
  • Buyers self-configure and quote 24/7 — sales focused on high-value engagements
  • Buyer journey matches modern B2B buying expectations
  • Same rules and pricing govern self-service and sales-led quoting
  • Threshold-based approval keeps sales in the loop only when needed
  • Pipeline velocity and win rate improve on self-service-suitable deals

Real-World Application

Example Use Case: Industrial Components Distributor Adding a Self-Service Channel

An industrial components distributor served two distinct buyer segments: large strategic accounts with dedicated sales reps, and a long tail of mid-market buyers who placed smaller, frequent orders. The long-tail segment was unprofitable to serve through sales — but currently received the same sales-led quoting workflow as the strategic accounts, consuming rep time on low-value transactions. After deploying Mercura's self-service CPQ for the mid-market segment, those buyers could configure and quote independently through a buyer portal — generating quotes in seconds, on their own schedule, within published pricing tiers. Sales rep time on the long-tail segment dropped by 78%, reallocated to strategic account growth. Long-tail quote-to-order conversion improved by 22% on faster turnaround and 24/7 availability.

Quote turnaround dropped from 3 days to under 4 hours.

Industrial Valve Manufacturer

Business Impact

Why Self-Service CPQ Matters

Self-service CPQ separates the question of whether a deal needs a sales rep from the question of whether a deal needs to be quoted. Many buyers, on many products, in many segments, do not need (and do not want) a sales rep — they want to quote themselves and engage sales only when the deal genuinely requires it. A CPQ that supports both modes — self-service for buyers who want it, sales-led for deals that need it — unlocks both pipeline velocity and sales rep productivity. It is the channel architecture that matches how B2B buyers now actually behave, and it is one of the most direct ways to improve quoting throughput without growing sales headcount.

Let Buyers Quote Themselves — Safely

Book a demo to see how Mercura's self-service CPQ lets B2B buyers configure complex products and generate valid quotes without sales involvement.

Let’s build together.

We empower manufacturers to master product modeling, streamline quoting process, reduce errors, and ultimately deliver the tailored solutions that customers demand.