Intelligent Quoting Engine

Consider a mid-sized manufacturer dealing in custom product orders, where quoting is one of the most time-consuming and error-prone parts of the business. Pricing lives in spreadsheets. Inventory data sits in a separate system. Sales reps build documents by hand, chase approvals over email, and send quotes to prospects days after the initial conversation.

For a business like this, Infoniq AI would replace that entire process with a modernized intelligent quoting engine — one guided interface where end users configure their order, enter custom parameters, and receive an accurate, professionally formatted quote in under an hour, fully integrated with the systems the business already runs on.

Custom manufacturing quotes are inherently complex. Materials, labor, configurations, lead times, and margin thresholds all feed into a final number that has to be right the first time. A company managing all of that complexity manually feels the strain quickly. Spreadsheets fall out of sync with live costs. Reps apply discounts inconsistently. Errors make it into customer-facing documents with no systematic way to catch them before they go out.

The business impact is immediate and measurable. Prospects wait days for quotes while faster competitors close deals in hours. Finance has no visibility into what the sales team is promising or at what margin. Leadership has no reliable way to track quoting activity, win rates, or pricing trends across the team. The quoting process becomes a bottleneck that quietly costs the business revenue every week.

Infoniq AI's approach opens with a deep discovery process, working directly alongside the sales, finance, and operations teams to understand every variable that feeds into a quote. That institutional knowledge — pricing tiers, discount rules, margin thresholds, approval hierarchies, and product configuration logic — is translated into the rules engine powering the new quoting system.

The platform connects directly to the company's existing ERP and inventory infrastructure, pulling live data on material costs, product availability, and lead times with every quote generated. Sales reps and end users interact through a clean guided interface, entering custom order parameters and letting the system handle the rest. Pricing is calculated automatically, margin rules are enforced without exception, and quotes requiring approval are routed to the right stakeholder instantly with full order context attached. The output is a professionally formatted, branded quote — generated in under an hour rather than assembled over the course of several days.