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Take me to PSFK iQThe automotive industry is being reshaped by a number of forces. Technology advancement and Industry 4.0 has fundamentally changed the automobile from a feat of purely mechanical engineering into a connected machine that has much in common with a consumer electronics device. This has ushered in a desire for new driving experiences and business models. Original equipment manufacturers (OEMs) have had to rethink the way they design and manufacture vehicles from the ground up, augmenting their capabilities across their organization from supply chain and production frontline to R&D and sales. Dealerships must adjust to new expectations around shopping and ownership, ensuring they can meet potential customers with personalized engagement on every channel.
About The Report:
Reimagining Automotive is a report by business intelligence platform PSFK in partnership with global technology and service provider, Microsoft. We present the future state of the automotive industry through five forward-looking user journeys that highlight the advantage of digital transformation through the adoption of networked data, connected vehicles and operations, intelligent automation and a digitally enabled supply chain. Insights learned can help manufacturers, OEMs and dealers understand how cloud-based solutions can transform their businesses in order to drive new levels of service throughout the entire value chain, from customers to employees to partners.
Published August 2020
Retailers are sitting on a wealth of data, but these valuable insights often get lost between disparate teams and siloed channels. Data-driven communication channels can help optimize communication between factories, warehouses, stores and other supply chain elements, sharing key information between partners through cloud infrastructures and keeping everyone on pace to deliver excellence.
Feedback LoopCompanies are sitting on a wealth of data about their shoppers, their stores and the broader marketplace, but they often lack the internal capabilities and creative insight to put it to use. Successful brands and retailers are differentiating themselves with data-led initiatives like deep-learning algorithms that enable them to quickly adapt or even anticipate shifts in consumer preferences to be first to market with next-gen products inspired by purchase patterns to better serve the needs...
Anticipatory SupportRetailers are applying machine learning and data aggregation tools to anticipate consumer behaviors and needs based on situational or emotional contexts and provide service or product recommendations. This includes using data generated by mobile apps to create a unified view of a member's shopping behavior and preferences, as well as leveraging RFID and other technologies to detect items that shoppers are interacting with in order to target shoppers in the moment and drive incremental retail...
In-Step EngagementsPromoting product awareness by creating playful OOH engagements that intersect with consumers during their daily routines