Consumer goods & retail

The large distribution and consumer goods industries are facing a significant redistribution of the value created between the players of the ecosystem, driven by the digital revolution.

Digital innovations form the technological backbone for the creation of services and products enriched by an acute knowledge of the end-customer. The most innovative players, including intermediation platforms, have been able to capitalize on this customer knowledge, in order to rethink their business models by:

  • Designing new offers more tailored to the needs of digital users: ease of purchase, immediacy of access, customization, etc.
  • Proposing these services with innovative and painless schemes for the end customer: redistribution of a share of the value captured from more traditional actors, valuation of data, payment for use or subscription, “asset-light” models especially in terms of logistics, etc.

In addition, operational processes’ digitalization unlocks value-creation opportunities translating in lowered costs, increased efficiency and improved assets and inventories’ utilization and rotation rates. As an example, production schedules optimization is enabled through real-time information escalation based on IoT and on digital customer touchpoints.

Key technological enablers

Machine learning

Machine Learning brings together all the technologies needed to automatically calibrate a model to make it more reliable. The improvement of computing power and the increase in the amount of usable data allows computers to automatically adjust their predictions and behaviors, and the development of more accurate and efficient predictive and decision-making algorithms.

Sensors & MeMS

Microelectronics has led to fundamental advances in sensors and actuators. More compact sensors (nanotechnology), less expensive, with embedded intelligence, with more autonomy and sometimes self-sufficient in energy, allows more precise control of assets, production lines or the operation of complex systems.

Augmented Reality

Augmented reality (AR) adds virtual elements (indications, clothing, furniture…) to the real environment. Advances in image recognition and digital modeling not only allow the emergence of new and enhanced customer experiences, but also the assistance of any field operator in real time.

Cloud

The Cloud brings together all the technologies that allow remote data storage and processing, often on shared solutions. The pooling of material costs and the development of platforms give any company access to flexible, high-performance, secure and cost-effective IT infrastructures and services.

Deep Learning

Deep Learning uses machine learning in successive layers, allowing engineering features to be automated; it relies heavily on neural networks. New algorithms, access to large computing capabilities and the multiplication of the amount of usable data enabled radical progress in areas previously reserved for humans, such as vision and language.

Blockchain

The Blockchain is a technology for storing and transmitting information without a control body, based on the progressive and inviolable enrichment of a chain of blocks. This decentralized infrastructure offers promising opportunities for authentication and the establishment of a chain of trust, which are essential in the Internet age.

New Coverage Technologies

The multiplication of networks (cellular, satellite, mesh, etc.) with extended coverage allows the deployment of projects based on continuous data collection and transfer, both locally and internationally.

Examples of eleven’s support in the industry

Data analysis and IoT to reduce non-quality costs of a food supplier

Use of in-store connected cameras to develop marketing and operational efficiency solutions