Rappi
Product search
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
- 25% increase in conversion rate
- 40% reduction in search response time
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
AI scaling fast with no visibility into model costs or performance. Teams now catch runaway spend and failing models before deliveries slip.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
AI scaling fast with no visibility into model costs or performance. Teams now catch runaway spend and failing models before deliveries slip.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.