- May 1, 2006
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- Alex
What you've given us so far is a bit vague. How do you do this? Where are you sourcing the data and coming up with the values?Yes, we are.
Always here if people want to learn more.
What you've given us so far is a bit vague. How do you do this? Where are you sourcing the data and coming up with the values?Yes, we are.
Always here if people want to learn more.
Looks like he's with Textium? I believe they require the customer to text either their VIN or license plate number, and then it replies back with a Black Book value range certificate as an MMS image.What you've given us so far is a bit vague. How do you do this? Where are you sourcing the data and coming up with the values?
Looks like he's with Textium? I believe they require the customer to text either their VIN or license plate number, and then it replies back with a Black Book value range certificate as an MMS image.
Or if you’re sending the Textium request to your own database and already have the customer’s VIN, then the customer would not need to provide that information and could simply request their value.
The reason for that is simple. I have around 7 posts on this site and I didn't want to "suitcase" in the forum and potentially violate some rule. Not trying to be vague at all.Thanks Ryan - he kicked my spidey sense up with the way he posted. After 20 years of seeing these kinds of posts I get suspicious.
So, if he has a VIN or license plate and runs it through build data first, then he can get pretty close. Which is all he had to say.
A dealer asks for developer recommendations to build a custom trade-in and vehicle data collection tool after finding existing solutions like ICO and TradePending inadequate. The thread pivots when a vendor, Chris Apostalides of Textium, explains their SMS-based trade-in tool that uses license plate or VIN input to pull build data and values from KBB, Black Book, or AccuTrade — skipping traditional web forms entirely. The key takeaway is that a text-first approach can improve lead accuracy and contact verification, though veteran members note transparency about data sourcing and methodology matters when evaluating such tools.