Skip links

Global Automotive Leader Links Cars to E-Commerce

Jump To Section

An emerging need in the auto industry is the ability to link car owners with e-commerce companies to allow package delivery direct to customer vehicles.

Cloud-based technology connects e-commerce companies with car owners.

An emerging need in the auto industry is the ability to link car owners with e-commerce companies to allow package delivery direct to customer vehicles. Altimetrik helped this global automotive leader build their case by developing a whitepaper on 3rd party access and security frameworks, adding a secure layer of auto connectivity for integration with the client’s cloud ecosystem, and developing a billing and subscription model to ensure a safe and consistent revenue stream.

  • 300 – 800 Monthly Amazon Prime In-Car Package Deliveries
  • 95% Reduction in Onboarding Time for 3rd Party Providers’ Access to Vehicle
  • 50%+ Improvement in Performance and 20% Reduction in Error or Retry Scenarios
  • Growing Stream of Monthly Revenue

Cloudification powers Amazon and other retailers’ direct-to-car deliveries.

Altimetrik’s subject matter expert prepared and submitted a white paper on new 3rd-party access and security frameworks for approval by the client’s cybersecurity, threat modeling, and senior architects. The whitepaper developed the vehicle scope for 3rd party access including the design and code for a security level using Azure B2C, custom policies, spring Oauth2, vin-vid mapping, and conversion of public JWT token for consumer access for their cars.

Altimetrik then designed and developed a robust platform to provide secure access for Amazon and other 3rd parties with the auto manufacturer’s vehicles. Additionally, a new secure layer of auto connectivity was integrated with the client’s cloud ecosystem.

Our team led the development of a new billing and subscription model that charges 3rd party retailers on a monthly basis. This generic subscription billing model was designed and developed to support multiple billing frameworks for both Amazon and other 3rd parties.

“Our client is moving from a hardware provider to one encompassing hardware, software, and customer experience. The mobility division has kick-started new innovation projects in areas of cybersecurity, connectivity, cloud computing, machine learning, and electric vehicle features.”

Ankur Sharma

Sr. Specialist Developer, Altimetrik

admin

admin

Latest Reads

Subscribe

Suggested Reading

Ready to Unlock Yours Enterprise's Full Potential?

Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes