Retail & E-commerce

AI coworkers for high-volume retail operations

Increase conversion, reduce operational costs, and deliver consistent customer experiences with AI coworkers that understand your retail business and execute work across support, orders, returns, and internal operations.

Loved by professionals from 1000+ large and small brands around the worlds

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The sharpest and most capable AI agents in the market

The Challenge

Retail and e-commerce teams operate under constant pressure from high ticket volumes, seasonal spikes, and thin margins. Customer data, order information, and policies are spread across tools, forcing teams to rely on manual processes that slow response times, increase errors, and hurt customer satisfaction.

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70%

Reduction in repetitive customer tickets handled manually

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€8,000+

Annual efficiency savings per employee through automation

+

65%

Faster resolution of order, refund, and return requests

Use Cases

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Customer support at scale

Resolve L1 inquiries, order issues, and return requests automatically while escalating complex cases with full customer and order context.

Internal operations and coordination

Handle internal requests, vendor coordination, and operational follow-ups without manual back-and-forth.

Orders, returns, and refunds operations

Automate policy checks, workflow execution, and system updates across order management and support tools.

Integrated with the most popular softwares

Shopify, Magento, Salesforce, Zendesk, Intercom, HubSpot, Slack, Google Drive, Notion, ERP and OMS systems

Klart AI is integrated to all company tools, like Confluence, Zendesk, JIRA, Google Drive, OneDrive and more.

AI in Action

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Retail & E-commerce

Order and returns automation

Klart AI handles order issues, returns, and refunds by validating policies, retrieving order context, triggering workflows, and updating systems automatically.

Customer account resolution

AI coworkers build a unified view of each customer across orders, tickets, and interactions to resolve issues faster and more accurately.

Inventory and product inquiries

Answer customer and internal questions using live product, pricing, and availability data across systems.

Peak and seasonal workload handling

Absorb demand spikes during promotions and peak seasons without adding temporary headcount or breaking workflows.

Operations

End-to-end workflow execution

AI coworkers execute repeatable business processes across tools, from request intake to final system updates, following your rules and approvals.

Internal request automation

Handle internal requests from teams, route them to the right workflow, gather context, and complete actions or escalate when needed.

Operational exception handling

Detect when workflows fall outside defined rules and escalate to humans with full context and recommended next steps.

Vendor and partner coordination

Draft communications, follow up automatically, track responses, and update internal systems without manual back-and-forth.
User interface of Klarty virtual assistant showing a monthly report workflow setup with tasks from Google Sheets, an option to activate workflow, connected data sources including Google Sheets, Notion, Airtable, and task automation for Jira, Google Sheets, and Slack.

Customer Support

Ticket deflection

Resolve repetitive tickets autonomously and route complex cases to the right teams with full customer context.

Accelerated case resolution

Pre-draft responses using internal documentation, similar past cases, and recent product changes.

Knowledge base automation

Turn resolved tickets and internal decisions into up-to-date help articles and internal documentation.

CSAT insights

Analyze customer conversations to identify recurring issues, documentation gaps, and drivers of CSAT changes.
Customer support chat interface showing agent Lyra confirming an order return and refund for damaged item #48392 with validation and notification steps completed.

Marketing & Content

Campaign content generation

Generate structured, on-brand content for campaigns, product launches, and customer communications.

Content localization at scale

Adapt content across markets while preserving terminology, tone, and regulatory constraints.

Market and competitive intelligence

Monitor trends, competitors, and customer conversations to inform messaging and positioning.

Content performance summaries

Automatically generate summaries from campaign results, feedback, and engagement data.
Screenshot of an AI assistant named Calla suggesting five blog post ideas to promote a new smart home product line, with popular channel icons and a content outline visible.

Legal & Compliance

Policy-aware execution

Ensure automated actions follow internal policies, approval rules, and compliance constraints.

Audit-ready workflows

Maintain full logs of AI actions, decisions, and data usage for audits and reviews.

Access and permission control

Restrict what each AI coworker can see and do based on role and responsibility.

Regulatory support

Assist teams with compliance checks, reporting, and documentation in regulated environments.
Digital legal advisor interface named Justa showing compliance check for high voltage line installation with approval requirements and regulatory documents list.

Intelligence & Analytics

Operational reporting

Generate structured summaries of work performed, outcomes achieved, and bottlenecks encountered.

Customer and business insights

Aggregate signals from support, sales, and operations to surface meaningful patterns.

Analytics reporting

Retrieve analytics for internal and stakeholder reporting.

Decision support

Provide recommendations grounded in company data, historical actions, and current constraints.
Dashboard interface showing a data analyst named Kai analyzing product return reasons: damaged product 37%, wrong item shipped 24%, and size/fit issues 19%, with integrations to Google Drive, Salesforce, Notion, HubSpot, and Zendesk.