Standard Operating Procedure (SOP) for Receiving Cars from IAA and Copart
1. Acknowledgment of Vehicle: - Review the description of the car from the IAA and Copart platforms. - Acknowledge receipt of the vehicle in the designated application.
2. Customer Communication: - Contact the client to review the car description. - Verify the balance in the app. - If the price is incorrect and higher, capture a photograph at the time of discussion with the customer.
3. Preparation Before Departure: - Prepare checks for the relevant person or company prior to heading out. - Inform the customer to have the car ready upon your arrival.
4. Navigation and Routing: - Enter the destination address into a navigation system, preferably Waze, to optimize for the fastest route avoiding traffic.
5. Arrival at Pick-Up Site: - On arrival, take a photograph of the check through the app before handing it to the customer. - Coordinate with the on-site contact to ensure the pickup is smooth.
6. Vehicle Documentation: - Thoroughly document the vehicle's condition using photos in the app.
7. Loading the Vehicle: - Safely hook the vehicle and confirm all straps and chains are secured correctly. - Activate and inspect the rear light on the towed vehicle for functionality before leaving.
8. Final Procedures: - Once the vehicle is securely loaded, submit the photos in the app. - Notify dispatch via text or call that loading is complete and you're ready for additional assignments.
- Transfer everything to tow book - Transferring the road side assistance - Log in post through this app . Pull from the platform and blast to the people : when they log on it’s shows where their cars are too - Sorts everything from insurance companies and you accept the bid . - 45 mins to drivers I need user name and password
Yes just like this maybe a can you this in a checklist for them what do you think?
Multimodal Emotion Recognition Development Category: Data Science, Machine Learning (ML), Multimodal Large Language Model, Natural Language Processing Budget: ₹12500 - ₹37500 INR
