PROPOSED SOLUTION & ARCHITECTURE
The new esserbella's mobile app has proven to be the best way to attract and engage with potential customers, by adopting a content-driven marketing strategy, enabled by Neosperience and AWS technological functions. The app allows users to be constantly updated about news and trends in the world of beauty and cosmetics, and to receive special offers on the products that best fit their preferences and desires, such as the most popular products from well-known brands or new products to create innovative makeups.
Users can easily find the nearest store around them among the 38 EsserBella’s perfumeries and are invited to take part in exclusive events, new openings, and workshops. The app also puts together proximity and push notifications to communicate with each customer in a personalized way, stimulating traffic and purchases online and in store.
Furthermore, with esserbella's mobile app each customer always has her digital loyalty card at hand, with which she can collect, monitor, and use her accumulated points in exchange for tangible rewards and other special benefits.
Esserbella uses User Insight Solution based on Neosperience Cloud to address personalized content delivery and proximity marketing initiatives. It implements digital assets upload and ingestion providing Esserbella a wide support in formats through Neosperience standard console: asset creation, file upload and metadata definition.
Neosperience Cloud offers DCX business entities such as Card, Store, Product and Offer built on Asset object with process-specific metadata.
Mobile clients, based on Neosperience Cloud SDK, connect directly to REST services exposed as serverless microservices through API Gateway.
Asset upload and ingestion are targeted to S3 and triggers corresponding Lambda function sending data to Cloudinary after auto metadata extraction with AWS Rekognition.
Mobile clients receive targeted data through direct invocation and push notifications thanks to Neosperience Cloud NPE leveraging AI capabilities of EC2 Deep Learning AMI.