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.
Related implementations across industries and use cases
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
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.
AManual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
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.
Related implementations across industries and use cases
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
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.
AManual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.