What challenges did Saks face before AI implementation?

Agents spent time on after-call work such as updating records and writing detailed notes. Saks needed near real-time sentiment and quality signals to support live calls and improve service decisions.

What was the impact of the AI solution?

Saks reduced after-call work by about 15 seconds per interaction. The company improved agent productivity and gained better insight into customer sentiment and call quality. The time savings are significant at Saks' scale of millions of customer contacts.

Rank#2,033of 3,449

Source

Evidence: Medium50/100

Saks: Summarizing customer calls and improving service with Amazon Connect Customer and Amazon Bedrock

Use case typeCustomer experience analyticsUpdated Jun 13, 2026

Saks, the luxury retail brand, used AWS contact center AI to improve customer service and agent productivity. The company needed to reduce after-call work while giving supervisors near real-time insight into customer interactions.

Organization: Saks
Industry: Retail
Location: United States
Published: May 2026

Reported outcomes

15 seconds

quantified impactOther quantified impact

Strategic outcomes

New product / capabilityAutomated customer call summarizationBetter decisions & insightGained real-time sentiment and quality insightSpeed & agilityReduced after-call workNew product / capabilityEnabled near real-time call analytics

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

Normalized claim

Quantified impact: 15 seconds decrease

AWS Solutions Case StudyMay 13, 2026Case studyInferred claimMedium evidence strength

Saks reduced after-call work by about 15 seconds per interaction.

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

Customer: Saks
Provider: AWS
Maturity: Unknown
Linked source: AWS Solutions Case Study

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Contact center analytics
2Conversation summarization
3Agent assistance

Agents spent time on after-call work such as updating records and writing detailed notes.
Saks needed near real-time sentiment and quality signals to support live calls and improve service decisions.

Saks adopted Amazon Connect Customer for AI-native contact center capabilities and near real-time contact center analytics.
The solution integrates with Saks' Salesforce Service Cloud Voice environment so agents can keep using a familiar workflow.
Saks used Amazon Bedrock with speech-to-text capabilities to automatically summarize customer calls into a few sentences after each interaction.
Supervisors can use sentiment analysis and contact center metrics to monitor call trends and support agents during difficult calls.

Technologies

Amazon Connect Customer Amazon Bedrock Salesforce Service Cloud Voice

Saks reduced after-call work by about 15 seconds per interaction.
The company improved agent productivity and gained better insight into customer sentiment and call quality.
The time savings are significant at Saks' scale of millions of customer contacts.

Sources & evidence1

Evidence: Medium50/100Evidence strength