Leveraging Customer Feedback
Revolutionizing D2C e-commerce by harnessing AI algorithms to systematically analyze customer feedback, streamline return and review processes, and empower businesses to act confidently on data insights.
noun /ˈbreɪk.θruː/
Solved for good
Efficient Analysis of Feedback
Eliminated time-consuming, error-prone manual analysis of return and review feedback by implementing AI-driven systems.
Identifying Key Product Issues
Pinpointed critical product concerns using AI algorithm, enabling proactive improvement of customer experiences.
Boosting AI Adoption in Business
Fostering an AI-driven business culture by involving BBG executives in the co-creation process, encouraging further AI adoption.
Manual limitations
The Challenges in Customer Feedback Analysis
BBG is a thriving D2C e-commerce unicorn from Berlin, boasting popular brands such as Klarstein, Auna, and Blumfeldt. However, they previously lacked a systematic approach to analyzing return and review feedback on a product level. This led them to rely on manual, labor-intensive, and error-prone procedures that impeded their growth and efficiency.
projected savings due to avoidance of returns
Fast and effective
AI-Powered Feedback Analysis Solution
Our team developed an AI-driven algorithm that systematically reviews and analyzes customer feedback from product returns and reviews, empowering BBG to make informed decisions based on reliable data. The innovative tool pinpoints key product issues, allowing proactive improvements. Developed in just three months through a collaborative, co-creative approach, the project fostered an AI-friendly environment among BBG executives, eager to utilize AI for overcoming future business challenges.
What can be solved?
Everything.
However here are a few common pain points that we often see, which can be solved through our programs and will lead to an AI breakthrough.
Get started with AI
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