Comparing options
Action list vs dashboard vs rules
Most dealer-churn tooling falls into one of three shapes. Each answers a different question, and only one of them hands the field a call list. This is an honest comparison, including where AutoModel is the wrong choice.
| Dashboard / BI | Single Excel rule | dotAI AutoModel | |
|---|---|---|---|
| What it answers | What happened to revenue over time | Which accounts trip one threshold | Who to contact this week, and why |
| Signals read | Whatever the report was built to show | One signal, such as no order in 90 days | 150+ signals read together across the dealer relationship |
| Output | Charts and trends to interpret | A flat list of accounts matching the rule | A ranked list with a reason and the next check per dealer |
| Who it is for | Analysts and leadership review | Whoever built and maintains the rule | Account managers and the sales head assigning the week |
| Time to first result | Whatever the BI project takes | Fast, but only for the one rule it encodes | About 5 minutes from one order-file upload |
| Where it struggles | Requires interpretation before anyone can act | Misses accounts that look flat on that single metric | Needs your order history; it is not a cure for missing data |
What AutoModel is not
- It is not a dashboard. It produces a ranked, explained action list for account managers rather than charts to interpret.
- It is not a months-long IT project. The first run starts from an export you already produce.
- It does not prove that a competitor took your business. AutoModel identifies a loyalty-risk pattern from order behaviour; your rep confirms the cause on the call.
Judge it on your own data
A comparison page can only take you so far. Run one territory, inspect the ranked list, and decide whether the signal is useful this week.
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