AI-driven logistics optimization
When Redcab was just an idea 3 years ago and the founders decided to make something good to the community to solve the problems created by the market giants while maintaining high profits, the first pillar to achieve this goal was our customer satisfaction. Integrating AI into our systems was the next logical step in innovating customer support & the idea of Cabbi was born.
Cabbi is a smart road assistant which will live inside the App, that will enhance and personalize the user experience throughout the ride as well as becoming the customer support agent that hears the voice of the customer and provides an automated, accurate, & agile responses.
AI has two capabilities that enhance customer service: machine learning and natural language processing. Machine learning studies historical customer data in your systems and equips your customer service staff with all the information they need to address concerns much faster and provide personalized product suggestions, discounts, and offers. It’s the same mechanism that enables Facebook to suggest friends and brands to add or follow, and allows Amazon to personalize product recommendations.
On the other hand, AI’s natural language processing capabilities make it possible for businesses to deploy computerized customer service systems that don’t require human support staff. AI-enabled systems can ‘talk’ to customers via software similar to that of Apple’s Siri, Google’s Alexa, and Windows’ Cortana [1] as well as Rebcab’s Cabbi.
However, with the new GDPR (General Data Protection Regulation) that is currently effective and aimed at strengthening EU citizens’ privacy rights and giving them more control of their personal data. It applies to any company doing business in the EU or any company outside the EU that holds data from EU citizens. What that means is right now, technology companies around the world are experiencing the single biggest ever cross-industry upgrade of technologies I can remember. Engineers are rushing to ensure data is encrypted at rest, that personally identifying information (PII) can be tracked and deleted, and making many other system-wide upgrades [2] but from our perspective in Redcab we see that GDPR is a good thing for machine learning which ensures that all our data and processes are compliant as well as producing audit-able models for our customers.
At the end where AI techniques and data are available and the value is clearly proven, organizations can already pursue the opportunity and one examples of where AI can be used to improve the performance of existing use cases is AI-driven logistics optimization which can reduce costs through real-time forecasts and behavioral coaching. Application of AI techniques such as continuous estimation to logistics can add substantial value across sectors. AI can optimize routing of delivery traffic, thereby improving fuel efficiency and reducing delivery times [3].
RedCab LLC. offers a decentralized peer-to-peer transportation solution to individuals. Utilizing the power of Blockchain technologies and a unique business model for a transparent, affordable, and innovative future. Founded in 2016, and launched in 2017 with a concrete roadmap unto the future of peer-to-peer transportation services. Proof of Driving and Proof of Marketing Concepts, AI Powered road assistant, Geo Ads for monetization, and a strong portfolio of on-ground operations in a very short time.
Our products are available on the App Store and Google Play for both clients.
Google Play
RedCab Passenger App — https://play.google.com/store/apps/details?id=com.redcab.passenger
RedCab Driver App — https://play.google.com/store/apps/details?id=com.app.redcabdriver
App Store
RedCab on the App Store — https://itunes.apple.com/us/app/redcab/id1330160835?mt=8itunes.apple.com
RedCab Driver on the App Store — https://itunes.apple.com/us/app/redcab-partner/id1330176815?mt=8
References:
2- https://www.figure-eight.com/3-ways-gdpr-is-more-important-for-machine-learning-than-you-think/