Accuracy achieved, with a continuous-learning loop that keeps improving the system over time
Reduction in part-lookup time, accelerating quote turnaround
Of dispersed technical expertise centralized into a single queryable knowledge base
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A long-standing industrial distributor had built its competitive advantage on deep technical expertise accumulated over three decades. That expertise was distributed across PDFs of spec sheets, threaded email archives, ERP records, and the working memory of senior staff. Sales reps could identify the right part, price, and configuration, but only by knowing where in the business to look and whom to ask.
The result was a quoting process defined by manual lookup, inconsistent answers, and uneven turnaround. The exposure was structural. Experienced employees were transitioning out of the business, and institutional knowledge was leaving with them. New reps faced a long ramp. Customers expected faster, more accurate responses. The technical content the company depended on existed, but it was not modeled or indexed in a form any system could query with precision.
OneSix engineered Oracle, an AI-powered quoting and knowledge platform that consolidates the client's documents, emails, and ERP records into a unified, queryable knowledge base. Four data pipelines ingest and structure content from sources that had previously lived only in static files or in the working memory of senior staff. Decades of dispersed technical context are now modeled and addressable in real time.
On top of that foundation, Oracle runs a multi-agent system of fourteen purpose-built tools, combining OCR and large language models to handle intelligent part identification, configuration recommendation, and citation-backed responses. Reps and downstream systems access the platform through chat, API, or a purpose-built UI. Every answer is accompanied by its source, which is the precondition for use in front of a customer.
The platform reached 96% accuracy, with feedback and validation pipelines that measure performance continuously and improve the system with each interaction. Part-lookup time dropped by up to 60%, accelerating quote turnaround for reps. Thirty years of technical expertise that once lived in static files and senior staff's heads is now centralized in a single queryable system. What was a manual, expertise-dependent quoting process is now a production-grade, evidence-backed workflow that scales as senior staff transition out of the business.
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