Staff spent 13 minutes standardizing each product. AI now generates brand-aligned HTML in 2 minutes, freeing teams for higher-value work.
A supply management and distribution company maintains a catalog of 30,000 essential items, adding 300 new products monthly from manufacturers with varying data formats.
Staff manually standardized inconsistent product data to meet brand voice and SEO requirements, a slow process that throttled catalog updates. Early...
“Each manufacturer sends us their product data in different formats and we have several collaborators who read and standardize this data, creating product descriptions in our catalog, especially the online one.”
B2B and retail distributor of office, cleaning, and indirect supplies.
Cloud computing platform and on-demand infrastructure services.
Built Gimba's initial SageMaker prototype and managed its transition to Amazon Bedrock
Related implementations across industries and use cases
Manual translation slowed listings to a week. AI now parses raw supplier docs into local copy in 2 days, cutting translation costs 40%.
Manual research took weeks per product. Gen AI now automates analysis across portfolios, driving a 21% revenue surge.
Messy data across 70M products buried inventory. AI recategorized 23M files, achieving a 30% conversion rate on updated items.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
Manual ad production took months. Now, teams use AI to predict performance and generate creative in just 5 days.