What challenges did Fitterfly face before AI implementation?

Reduce the time users take to log meals in food diaries. Automate support interactions at scale while keeping responses accurate and timely. Provide multilingual AI coaching for chronic disease management.

What was the impact of the AI solution?

Meal logging time was reduced by about 80%. About 90% of support interactions were automated. The business expanded into regional markets and B2B operations with large enterprise partners, including insurers.

Rank#1,190of 3,449

Source

GCPScaled productionEvidence: Medium65/100

Fitterfly reduces meal logging time and automates support with Gemini and Vertex AI

Use case typePatient engagementUpdated Jan 1, 2026

Fitterfly uses Gemini 2.0 Flash on Vertex AI to reduce the time users need to log meals in its mobile app food diaries. The company also uses Google Cloud AI and cloud services to support model training, precision coaching, and automated support at scale.

Organization: Fitterfly
Industry: Healthcare
Location: India
Published: January 2026

Reported outcomes

−80%

meal logging timeTime & speed

90%support interactions automated

Strategic outcomes

Customer experience & trustImproved user engagementScale & capacityFreed team members for higher-value tasksMarket & geographic expansionExpanded into regional and B2B markets

Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Meal logging time: 80% decrease

Google Cloud Customer StoryJan 1, 2026Customer storyExplicit claimMedium evidence strength

reduced by about 80% the time users need to log meals

Normalized claim

Support interactions automated: 90%

Google Cloud Customer StoryJan 1, 2026Customer storyExplicit claimMedium evidence strength

automate 90% of support interactions

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Fitterfly
Provider: GCP
Maturity: Scaled Production
Linked source: Google Cloud Customer Story

The company also uses Google Cloud AI and cloud services to support model training, precision coaching, and automated support at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Patient engagement
2Customer support automation
3AI model training

Reduce the time users take to log meals in food diaries.
Automate support interactions at scale while keeping responses accurate and timely.
Provide multilingual AI coaching for chronic disease management.

Used the image and voice classification techniques of Gemini 2.0 Flash on Vertex AI to classify meal inputs and speed up logging.
Used Google Cloud AI and cloud services to manage data used to train models for nuanced AI coaching.
Applied AI coaching frameworks to automate support interactions and expand into B2B and regional markets.

Technologies

Gemini 2.0 Flash Vertex AI

Meal logging time was reduced by about 80%.
About 90% of support interactions were automated.
The business expanded into regional markets and B2B operations with large enterprise partners, including insurers.

Sources & evidence1

Evidence: Medium65/100Evidence strength