Configure, Price & Quote
Configure, Price & Quote is the module where a complex catalogue becomes a single accurate, approved, sellable quote. It owns the space between an open sales opportunity and a committed order: the point at which a customer's requirements are translated into a valid product configuration, priced correctly against every applicable rule, margin control and discount policy, run through the right approvals, and issued as a professional proposal. It exists because this is where enterprises leak the most money and the most time, through mispriced deals, invalid product combinations, unapproved discounts and quotes that take days to assemble by hand.
Within the Nashua 360 suite the module sits directly downstream of Marketing & Sales, drawing on live opportunities, and directly upstream of order capture and Contract Lifecycle. It reads the shared product catalogue, respects the pricing and margin structures held in Accounting & Control, and hands a clean, priced, contractually consistent quote onward the moment a customer says yes.
What the module does
The module carries a deal from blank quote to signed proposal without a sales representative ever leaving a single guided workspace. It provides guided configuration, walking the seller or the customer through a product or solution question by question, exposing only valid options at each step and resolving dependencies as they go. It handles pricing in full: list pricing, volume and tiered breaks, customer-specific and contract price lists, bundle and kit pricing, subscription and usage-based charges, one-off and recurring lines, multi-currency, and cost-plus and target-margin calculations. It applies discounting under policy, with line and header discounts, promotional codes and deal-level concessions all measured against floor prices and margin thresholds. It routes anything outside policy through structured approval, then generates the outward artefact: a branded quote, a multi-option proposal, a statement of work summary or an order-ready document, produced from templates and delivered for electronic signature. Quotes version cleanly, so revisions, renewals and re-quotes trace back to their origin.
The domain and data model
At the centre sits the quote, the working document that gathers everything a customer is being offered at a moment in time. A quote is composed of lines, and each line represents a configured item: a product, a bundle, a service or a subscription, captured together with the specific options and quantities the customer has chosen. Around configuration sits a body of product knowledge that describes which options exist, which combinations are permitted, which selections force or forbid others, and what each choice implies for what must also be present. This is the logic that keeps a configuration buildable and deliverable rather than merely plausible.
Pricing is expressed as a layered structure of price books and rules: a base of list prices, refined by customer, segment, region, currency and contract, and shaped further by tiered breaks and time-bound promotions. Sitting above both configuration and price is policy: the discount limits, margin floors and approval thresholds that decide when a human must intervene. Each quote also holds its own commercial memory, its validity dates, its terms, its revision history and its link back to the originating opportunity and forward to the resulting order and contract, so that the offer, the deal it came from and the agreement it becomes remain one continuous thread.
The principal workflows
A quote most often begins from an opportunity, inheriting the account, contacts, currency and expected value already known to the business. The seller configures the solution through the guided path, and the module validates every selection in real time, flagging incompatible choices and completing required companions automatically. As the configuration takes shape, pricing recalculates continuously, showing list price, applied discounts, net price, unit and total margin, and the distance to any floor. When the seller applies a discount, the module measures it against policy and either clears it or raises the appropriate approval, routing to the sales manager, deal desk, finance or executive tier according to the depth of the concession and the size of the deal.
Approvals run in parallel where policy allows and in sequence where it must, with full visibility of who is holding a deal and why. Once approved, the quote is rendered into a proposal, issued to the customer, and tracked through view, acceptance and signature. Acceptance converts the quote into an order and passes agreed terms into Contract Lifecycle. Renewals and amendments reopen the prior quote as a new version, preserving the negotiated position while re-running current pricing and policy.
The functional depth that matters
The value of a CPQ module is in the correctness it enforces under pressure. Configuration is governed by a full constraint model: compatibility, requirement, exclusion and inclusion rules, option dependencies, quantity and capacity limits, and guided selling logic that recommends the right solution from stated needs. Nothing invalid can be quoted, which means nothing invalid can be ordered or manufactured. Pricing depth matches it. The engine resolves the correct price for each line through a deterministic order of precedence across contract, customer, segment and list books, then layers volume tiers, bundle economics, proration for mid-term changes, ramped and stepped subscription schedules, and multi-currency conversion at controlled rates.
Margin is a first-class control rather than an afterthought. Every line and the quote as a whole carry live cost, margin percentage and margin value, checked against floors that block or escalate rather than merely warn. Discount governance is explicit and auditable: maximum discretionary discount by role, cumulative discount ceilings, mandatory justification, and approval matrices keyed to margin erosion, absolute value and product family. Every override, every approval and every price decision is recorded, giving finance a defensible trail from list price to the number the customer signed, and giving revenue recognition and audit a clean, consistent basis to work from.
How it fits the Nashua 360 suite
The module is deliberately not an island. It reads opportunities, accounts and contacts from Marketing & Sales, so quoting begins with context rather than re-keying, and it writes deal progress and quoted value back so the pipeline reflects reality. It draws products, options, structures and configuration rules from the shared product catalogue, ensuring that what can be sold matches what exists and what can be delivered. Pricing structures, cost data, currency handling and margin definitions are held in and reconciled with Accounting & Control, so the numbers a seller sees are the numbers finance recognises.
When a quote is accepted, agreed terms, pricing schedules and commitments flow into Contract Lifecycle, which turns the offer into a governed agreement and manages its renewals and amendments back through the same quoting path. Accepted quotes also feed order capture and fulfilment, so a valid configuration becomes a valid order without translation loss. The result is one unbroken commercial spine, from first interest through configured offer, approved price, signed contract and recognised revenue.
How AI Workers operate inside it
AI Workers are first-class participants in the quoting process, not a bolt-on assistant. A seller or manager can query module data conversationally, asking for every open quote above a margin threshold, the discount history for an account, or the reason a deal is stalled in approval, and receive a grounded answer drawn from live records. Workers execute actions directly: assembling a first-draft configuration from a stated requirement, applying the correct price book, generating a proposal, or preparing a renewal quote from an expiring contract. They surface anomalies and exceptions without being asked, flagging quotes priced below floor, unusual discount patterns, stalled approvals, expiring validity dates and configurations that drift from typical deal shape.
Workers extract structure from unstructured input, turning a customer's requirements document, tender or email into a proposed configuration and line set for a human to confirm. They provide decision support at the point of negotiation, modelling the margin impact of a proposed concession, suggesting compliant alternatives that protect the floor, and recommending the bundle or tier that best fits the stated need. And they act as named nodes in the approval and review workflow: an AI Worker can hold a delegated approval authority within defined policy limits, clearing routine concessions instantly and escalating anything beyond its remit to the right human, so that governance stays intact while cycle time falls.
