Before we look for root causes, start by understanding the shape of the problem itself using our data: is this affecting new inventory, used, or both? Is it broad across our whole lot, or concentrated in particular models or segments? Tell me what you find, and check that it matches what I'm actually seeing before you move on.
Once we've confirmed the shape, scan our data broadly for patterns that could point to underlying problems, considering pricing, exposure, follow-up, and anything else worth flagging, focused on the segment(s) we've identified as affected. Compare against national franchise dealer data where useful, to judge whether something looks unusual or normal, not just against our own history. Treat any hunches I've shared as possibilities to check, not assumptions, and tell me if the data contradicts or complicates one.
Briefly describe what stands out, and which problems deserve a closer look. Check with me before going further.
For each one I confirm:
- Dig in for real evidence it contributes to our aging inventory, not just that it's plausible. Compare against national data where it helps show whether we're in line with the industry.
- Note the nuance: full explanation or partial, affecting everything or specific segments, how significant relative to the others.
- If the data doesn't hold up, say so and drop it.
End with a short list of problems the data genuinely supports, each with a brief summary of why it made the list.