Objetivo
GIGIGO envisions becoming the leading business intelligence and mobile marketing provider for SMEs in the retailing field, through the development of a low cost and highly scalable product that will allow any SME to design, monitor and exploit advanced business intelligence (BI), big data analysis and mobile marketing tools that currently are only affordable by large industrial players. ORCHEXTRA pricing scheme makes the service one hundred times cheaper than current tailor-made solutions.
ORCHEXTRA intends to transform the way in which SMEs drive their marketing strategies and exploit business intelligence tools. ORCHEXTRA will provide comprehensive support to SMEs in:
• Smart Packaging. Enhance the information and services provided within the product packaging through barcode scanning, promotions, engagement & fidelity measures, etc.
• Image recognition. Barcodes (2D codes, datamatrix, EAN…) and also image recognition (brand logo, bottle, can…).
• Intelligence layers. Big Data, Machine Learning, Customer behavioural patterns. Business intelligence, Triggers (demographic info, location, CRM…). Intelligence layers will be based on the analysis of aggregated anonymised data from all the platform customers creating a truly cooperative big data platform for SMEs.
• Consumers’ behaviour. Gain a much deeper knowledge on final customers, their purchasing processes, complementary products, demographic profile.
• Proximity marketing. Geofencing (outdoor), Beacon (indoor & outdoor).
• Personalized actions. Push notifications. Web mobile (content, promo, survey...). User Generation content (likes, comments, retweet…). Purchase/Order. Rewards and coupons.
Granting SMEs access to such high-added value services will enhance their competitiveness and contribute to the creation of growth and jobs in Europe. With this project we will contribute to transmit one fundamental idea: Every organisation is capable of innovating whatever their activity, size or situation.
Ámbito científico
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionimage recognition
- social scienceseconomics and businesseconomicsmicroeconomics
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEINST-2-2014
Régimen de financiación
SME-2 - SME instrument phase 2Coordinador
28027 MADRID
España
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.