Artificial Intelligence and New Customer Experiences

Challenge the status quo and identify new methods and uses.

GOWeeZ collaborates with you in the strategic analysis of your vision for new digital levers and channels.

We work with you on creating and developing new customer experiences. We aim to improve your customer’s empathy towards your brand by addressing friction points throughout the entire customer acquisition channel.

Defining your Data Governance

Data Legacy and Data Catalog in line with responsible data management.

Define the architectures to meet future developments. Setting up a roadmap towards new data consumption patterns. Forward-looking and visionary approach to emerging data uses. We assist you in anticipating tomorrow’s game-changers.

We provide expert guidance in tackling these complex and strategic challenges.

We partner with you in your data-driven considerations for your customer touchpoints and journeys. This includes integrating current and future payment methods. Securing and authenticating purchase journeys, as well as exploring authentication methods on the blockchain.

GOWeeZ has worked on numerous projects and companies in the development of proof of concepts (POCs), with a focus on optimizing digital channels for a “Phygitale” (Physical + Digital) experience.

Creating e-commerce websites, developing Minimum Viable Products (MVPs), and conducting Proof of Concepts (POCs).

Discover our articles and case studies

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Data governance

Gathering needs, Analysis of the existing system, Flow mapping

Assistance with decision-making, Roadmap, Strategy Implementation

Data Quality, Structuring, Data Legacy

IT Systems, Data Urbanization

Data Marketing, Automation

Migration, Data Management Platform (DMP), Data Warehouse, Data Lake

Digitalization of processes, identification of friction points, optimization of customer journeys

Customer journeys, e-commerce, Search Experience Optimization (SXO)

Systems interoperability, API development

Benchmarking, Identification of technical solutions, Omnichannel system

Iteration cycle, Lean & Agile method, QuickWin

Neuro-Linguistic Programming, Artificial Intelligence, Machine Learning

Retail Reload: The unique A.I.-enhanced Data Supply RFID solution for the luxury and premium retail sectors

MY PITCH IS GOOD by Yves Curtat. Chairman and Founder of Retail Reload. In this exclusive interview, Yves explains the performance that his RFID solution with AI brings to Retail. Many Premium and Luxury brands can now optimise in-store performance and reduce unsold stock.

GEKOMED, the circular economy startup that recovers and reconditions orthopedic splints

MY PITCH IS GOOD interview with Mathieu Zuber. Co-founder of Gekomed, which innovates in the healthcare sector by harvesting and reconditioning orthopedic splints, tackling the ecological and economic impact of their production and consumption.

The DCF method – Discounted Cash Flow – one of several methods for calculating the value of start-ups

GOWeeZ makes you review your calculation methods. In this article, we look at the DCF (Discounted Cash Flow) method. The discounted cash flow, or DCF, method is one of the most robust and widely used methods for valuing a company. Here is a detailed guide to understanding and applying this

ETEOS and its innovative technology for verifying the authenticity of valuables

MY PITCH IS GOOD by ETEOS, an innovative company founded by Fabien Tardit. ETEOS specialises in guaranteeing and verifying the authenticity of valuable objects, responding to the growing need to combat counterfeiting in various sectors

Develop your brand internationally before growing locally, the case study of French skincare brand Onérique,

MY PITCH IS GOOD interview with Glorimar Primera. Find out how Onérique, a French skincare brand, has expanded internationally with made in France products. A textbook case that goes against what we generally see in the strategic development of companies.

The comparable method, one of several methods for calculating start-up valuations

The comparables method involves valuing a start-up by comparing its characteristics with those of similar companies that have recently been traded. Simply put, if a technology start-up has annual sales of €1 million and similar companies have sold for a multiple of 5 times. But it's not that simple...