Project description
Revolutionary platform to take e-commerce to new heights
Today, consumers select what media to consume, and therefore what advertising to consume. This new state of affairs requires infrastructure that isn’t available. Sweden’s APPRL aims to meet this need by creating an intelligent and data-driven influencer marketing platform. Using AI, this scalable content marketing tool delivers a solution that tracks end-to-end sales through proprietary first-hand data. Online retailers will be able to measure actual return on investment while boosting sales and building brand awareness. To prepare the innovation for the market, the EU-funded AIM project will perform a feasibility study to assess its technical and commercial viability. Moreover, it will provide key insight into market trends and opportunities, competitors and recent developments.
Objective
APPRL connects the world’s greatest inspirational content with commerce to change the future of e-commerce, marketing and media. We offer a data and technology platform for influencer-driven commerce. Our platform offers brands a scalable content marketing tool that is focused on ROI, driving sales and generating insights while content creators now have a new source of revenue (i.e. data-driven monetization and insights tool).
We are a technology company with headquarters in Stockholm and offices in London and São Paulo on a mission to create a world leading platform that allows content creators and brands to work together in the most frictionless way possible through AI, scalable technology and user-centric design. Our team is made up of 25 social media experts, data scientists, strategists, engineers, marketers and innovators that have previously been building companies such as Spotify, Splay, Klarna, H&M, Soundcloud, iZettle, Soundtrack Your Brand and more. APPRL is backed by Spintop Ventures and a group of business angels with experience from companies as Google, Nike, Klarna, Rebtel and more.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- social scienceseconomics and businessbusiness and managementinnovation management
- social scienceseconomics and businessbusiness and managementcommercee-commerce
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
114 26 STOCKHOLM
Sweden
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.