Standardized discovery, inference logic, and report-ready output — structured into a repeatable process that helps the customer understand more than what they answered.
GURU is best understood as a layered process: guided questions, rules, inference logic, contextual interpretation, and a report the customer can leave with.
The system drives a repeatable interview so the same level of discovery happens every time. This reduces the dependency on memory and tribal knowledge.
Each response is processed as a decision signal. The value is not just the literal answer — it is what that answer implies operationally.
Rules and associations assign deeper operational insights behind the scenes. A relatively short session can infer a far larger operational profile.
The report adds explanations, implications, and reasoning. It tells the customer why a selection matters, not just what was selected.
The final output can be handed to the customer immediately, creating a more consultative and professional sales experience.
Use these tabs to explain how GURU enriches the result with content that would normally require expertise and additional time.
A simple state or usage answer can expand into emissions context, CARB relevance, and related operating implications. This gives the customer more confidence and reduces missed regulatory considerations.
Daily mileage, duty cycle, and usage questions can produce practical explanations around range, refueling rhythm, maintenance expectations, and service reality.
The report turns answers into consequences for chassis robustness, component fit, brake style, axle assumptions, and other downstream factors.
The output is consultative. Instead of the customer leaving with fragments, they leave with a more complete explanation of what was discussed and why it matters.
