2M reviews sat untapped while analysts dug through them by hand. A GenAI chatbot now lets nontechnical teams pull insights in seconds.
A global sports brand operating in 150+ countries, with over 2 million product reviews across its catalog representing a massive, underused asset for product development.
Review analysis was largely manual and time-consuming, while the existing chatbot produced generic answers with 15-second response times that limited...
“We leveraged Databricks to build a GenAI chatbot solution that analyzes sentiment across millions of customer reviews and delivers actionable insights, helping teams uncover opportunities and accelerate product innovation.”
Designer and manufacturer of athletic footwear, apparel, and accessories.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Adidas's Review analysis is part of this use case:
Related implementations across industries and use cases
Pipeline failures buried insights across 180K reviews. Now, AI analyzes feedback so teams can proactively address fit and quality issues.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Pipeline failures buried insights across 180K reviews. Now, AI analyzes feedback so teams can proactively address fit and quality issues.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
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2M reviews sat untapped while analysts dug through them by hand. A GenAI chatbot now lets nontechnical teams pull insights in seconds.
A global sports brand operating in 150+ countries, with over 2 million product reviews across its catalog representing a massive, underused asset for product development.
Review analysis was largely manual and time-consuming, while the existing chatbot produced generic answers with 15-second response times that limited...
“We leveraged Databricks to build a GenAI chatbot solution that analyzes sentiment across millions of customer reviews and delivers actionable insights, helping teams uncover opportunities and accelerate product innovation.”
Designer and manufacturer of athletic footwear, apparel, and accessories.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Adidas's Review analysis is part of this use case:
Related implementations across industries and use cases
Pipeline failures buried insights across 180K reviews. Now, AI analyzes feedback so teams can proactively address fit and quality issues.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Pipeline failures buried insights across 180K reviews. Now, AI analyzes feedback so teams can proactively address fit and quality issues.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.