Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
One of Brazil’s largest omnichannel retailers serves over 100 million customers through more than 1,000 stores and a massive national logistics network.
Processing thousands of daily reviews from diverse channels created a bottleneck, with staff requiring an hour to manually classify just 100...
“Databricks is a revolutionary facilitator for our AI strategy. The platform lets us innovate, collaborate, and deliver insights at scale — automating what used to be slow, manual work and giving every area of Casas Bahia a real-time, 360-degree view of the customer’s voice.”
Omnichannel retailer of electronics, furniture, and appliances in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Grupo Casas Bahia's Customer feedback analysis is part of this use case:
Related implementations across industries and use cases
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Support staff drowned in queries trapped in scattered PDFs. An AI agent factory now resolves thousands of legal and HR requests instantly.
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
Analyzing new segments required manually tagging 50K reviews. Now, AI automatically translates and categorizes multilingual feedback.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
One of Brazil’s largest omnichannel retailers serves over 100 million customers through more than 1,000 stores and a massive national logistics network.
Processing thousands of daily reviews from diverse channels created a bottleneck, with staff requiring an hour to manually classify just 100...
“Databricks is a revolutionary facilitator for our AI strategy. The platform lets us innovate, collaborate, and deliver insights at scale — automating what used to be slow, manual work and giving every area of Casas Bahia a real-time, 360-degree view of the customer’s voice.”
Omnichannel retailer of electronics, furniture, and appliances in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Grupo Casas Bahia's Customer feedback analysis is part of this use case:
Related implementations across industries and use cases
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Support staff drowned in queries trapped in scattered PDFs. An AI agent factory now resolves thousands of legal and HR requests instantly.
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
Analyzing new segments required manually tagging 50K reviews. Now, AI automatically translates and categorizes multilingual feedback.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.