WHITEPAPER
De nouveaux aperçus grâce à l’Intelligence Artificielle et les avis en ligne
Feedback de 1.8 millions de clients de grande distribution alimentaire française
Feedback from 1.8 million retail customers – new insights through AI and online reviews
Interested? Download whitepaper here:
Why this Whitepaper is worth reading!
Our Data Set
Google Reviews for more than 16.000 French food retail stores, 10 brands, and over 1.8 million customer reviews for the last 12 months.
Our Method
Our MIGO Product Suite uses AI to understand what topics customers are talking about and how positive/negative these topics are perceived at store level.
Our Results
While the overall winner is Aldi with its price driven hard-discounting forma in France, Système-U and E.Leclerc are a close second and third. Carrefour shows surprising weaknesses, primarily in the area of checkout and cleanliness!
%
of stores sales are impacted by online reviews
Competition among French retailers is high. Understanding customer needs is therefore of critical importance for both, established brands (Carrefour, E.Leclerc, Intermarché, …) as well as discounters (Aldi, Lidl).
Food retailers should use technology and AI to understand customers’ feedback provided for their own as well as for their competitors’ stores.
Interested? Download whitepaper here!
Our Product
MIGO is a software, which offers an end-to-end approach for sourcing, analyzing, topic modelling, and visualizing insights from feedback/images. Customers can either embed MIGO in their analytics/BI stack (app as a service model), license it as a SAAS, or access a curated data feed via our powerful MIGO API. Learn more...
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