External translations bottlenecked product launches for up to six weeks. Now, AI agents instantly translate and generate global content.
A Swedish software provider offers a product information management platform that centralizes global commerce data, with single deployments routinely managing over 24 million distinct data points.
Completing a new product launch could take up to 14 weeks using traditional workflows. Organizations spent up to six weeks solely managing...
“Imagine 25,000 products with 60 fields across 16 languages: that’s about 24 million data points. Managing all of this content at scale was becoming impossible.”
Inriver's Product data management is part of this use case:
SaaS platform for product information management and digital shelf analytics.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Paper catalogs couldn't talk back. In 6 weeks, developers built an app where AI synthesizes 1M personalized messages from Sinterklaas.
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Manually coding product packages took four minutes each. Now, AI extracts and validates details, scaling globally without local staff.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
External translations bottlenecked product launches for up to six weeks. Now, AI agents instantly translate and generate global content.
A Swedish software provider offers a product information management platform that centralizes global commerce data, with single deployments routinely managing over 24 million distinct data points.
Completing a new product launch could take up to 14 weeks using traditional workflows. Organizations spent up to six weeks solely managing...
“Imagine 25,000 products with 60 fields across 16 languages: that’s about 24 million data points. Managing all of this content at scale was becoming impossible.”
Inriver's Product data management is part of this use case:
SaaS platform for product information management and digital shelf analytics.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Paper catalogs couldn't talk back. In 6 weeks, developers built an app where AI synthesizes 1M personalized messages from Sinterklaas.
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Manually coding product packages took four minutes each. Now, AI extracts and validates details, scaling globally without local staff.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.