Specialty Materials Distributor
AI-assisted quoting that cuts manual effort and standardises customer pricing
Situation
A Danish specialty materials distributor prepared customer quotes through a heavily manual process that consumed time from multiple people, including senior management. Each quote meant looking up current supplier prices, applying margin rules, factoring in fluctuating energy and gas costs, and drafting an offer by hand. The flow was slow, inconsistent between sales reps, and dangerously dependent on a few key people being available - making it difficult to respond quickly to customers or scale the business without adding headcount.
Solution
We designed an AI-assisted quoting assistant that plugs directly into the company's existing ERP. A backend layer automatically pulls the latest supplier product prices, applies a configurable sales margin (default 60%), and adjusts for year-over-year energy and gas cost swings. On top sits an LLM that answers natural-language requests such as "a customer wants 3 kg of X and 2 kg of Y - what should we charge?" and returns a standardised pricing recommendation inside a compact internal web app the sales team can use on the fly.
Results
Sales reps now generate accurate, consistent quotes in minutes instead of hours. Pricing calculations are standardised across the team, the business is no longer bottlenecked on individual expertise, and the foundation is in place to let certain low-complexity customer inquiries be handled fully automatically - turning a manual quoting ritual into a scalable, data-driven sales capability.
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