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.

Retail & E-commerce
70%
Reduction in repetitive customer tickets handled manually
€8,000+
Annual efficiency savings per employee through automation
65%
Faster resolution of order, refund, and return requests

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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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Lyra

Lyra

Customer Support Expert

A customer says their order #38215 arrived damaged and wants a replacement, not a refund.

Confirmed via order history — replacement approved under the damage policy, no return shipping required since the item is defective. New order #38402 created and confirmation sent, no agent needed.

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Cairo

Cairo

Data Analyst

Which product category is driving the most returns this month, and is it trending up?

Outerwear returns are up 22% month-over-month, mostly sizing complaints on the same 3 SKUs. Flagging these for a size-chart review before the next restock.

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Calla

Calla

AI Copywriter

Write a product description for the new wool coat restock, matching our usual tone.

Draft ready — pulled the fabric and care details straight from the product spec sheet so nothing’s invented, and matched the warm, concise tone from your last 10 published listings.

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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.

Support queueLive
Where is order #48213?Auto-resolved
Refund status on return #902Auto-resolved
Damaged item, customer upsetEscalated + context

Internal operations and coordination

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

Vendor coordinationThis week

Restock request sent to supplier

Sent

Delivery delay flagged to ops

Tracked

Inventory count reconciled

Synced

Orders, returns, and refunds operations

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

Returns queuePolicy-checked
R1Return request #4471PendingRefunded
R2Wrong size exchangePendingApproved
R3Past return windowPendingDenied

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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.

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ShopifyMagentoSalesforceZendeskIntercomHubSpotSlackGoogle DriveNotion

+ ERP and OMS systems

“We have been using Klart AI for a while now and it has been a game-changer. It has saved us a lot of time. We highly recommend this tool to any company looking to streamline their processes and improve their efficiency.”

Gladys Embolo

Gladys Embolo

Head of Global Support at Mirakl

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No — it absorbs the repetitive order, return, and refund volume so your team focuses on the escalations and relationships that actually need a person. During peak season, that’s the difference between drowning and keeping up.

Yes — since it answers from your real policies and order data rather than a fixed headcount, it scales through Black Friday or holiday peaks the same way it handles a normal Tuesday, with no temporary staffing required.

Every answer is grounded strictly in your connected order management, policy documents, and helpdesk data — it cites what it used, and says so when something isn’t covered instead of guessing.

Shopify, Magento, Salesforce, Zendesk, Intercom, and HubSpot natively, plus Slack, Google Drive, Notion, and most ERP and order management systems.

All three, using the same grounded knowledge base — the difference is which workflows and tools each team connects, not a separate product per department.

Most retail teams see ticket deflection within the first week of connecting their helpdesk and order data — no lengthy onboarding or migration project.

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