'Model 3 Delivery Estimator' Approximates the Arrival of the New EV
References: teslanomics.co & thenextweb
Tesla, Elon Musk's increasingly popular electric vehicle brand, has a knack for getting consumers excited for their vehicles, and the Model 3 Delivery Estimator from the people at Teslanomics helps to cull some of that anxious energy. The online tool uses data science to make a prediction on when pre-ordered Tesla Model 3s will arrive for various people around the world.
A few months ago, Tesla announced the upcoming release of its newest vehicle, the Model 3. Though the car is only just beginning to be available, pre-orders for the vehicle came in droves from around the world — with no promise of an exact delivery date.
The Model 3 Delivery Estimator uses knowledge of Tesla's practices to come up with a best guess for when one should expect their vehicle. It uses factors like one's location, the specific Model 3 variation one ordered, and whether they have owned a Tesla in the past.
A few months ago, Tesla announced the upcoming release of its newest vehicle, the Model 3. Though the car is only just beginning to be available, pre-orders for the vehicle came in droves from around the world — with no promise of an exact delivery date.
The Model 3 Delivery Estimator uses knowledge of Tesla's practices to come up with a best guess for when one should expect their vehicle. It uses factors like one's location, the specific Model 3 variation one ordered, and whether they have owned a Tesla in the past.
Trend Themes
1. Electric Vehicle Trend - Creating tools to estimate delivery dates of electric vehicles is a possible disruptive innovation opportunity.
2. Data Science Trend - Using data science to estimate delivery dates is a possible disruptive innovation opportunity.
3. Customer Satisfaction Trend - Developing tools for customers to estimate delivery dates can lead to higher customer satisfaction.
Industry Implications
1. Automotive Industry - The automotive industry can benefit from tools that improve customer satisfaction through more accurate delivery date estimates.
2. Data Science Industry - The data science industry can provide services to automotive companies for creating more accurate delivery date estimators.
3. E-commerce Industry - The E-commerce industry can provide innovative tools to automotive companies to improve customer satisfaction with better delivery date estimates.
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