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Dixa

About Dixa

Dixa provides a customer service platform for ecommerce brands. The platform unifies conversations across channels including chat, email, phone, WhatsApp, and social. It includes an AI agent called Mim that resolves routine inquiries without human involvement. Dixa was founded in Copenhagen in 2015.

Products

  • Dixa Channels: Brings customer conversations from chat, email, phone, WhatsApp, and social into one place with history.
  • Dixa Conversation Engine: Routes conversations to the right person based on skill, language, or priority using visual, no-code rules.
  • Dixa Team Hub: Shows orders, past conversations, loyalty status, and AI-suggested replies in one screen for agents.
  • Dixa Discover: Scores every conversation automatically against set criteria and tracks performance across teams and channels.
  • Mim AI Agent: Resolves routine inquiries on live chat and email, handles refunds, tracking, and order changes, and hands off complex issues with context.
  • AI Co-Pilot: Suggests replies, improves drafts, translates, and surfaces knowledge articles within conversations.

Used for

  • Resolving refunds, tracking, and order change inquiries
  • Routing conversations by skill, language, VIP status, or custom rules
  • Scoring conversations against quality assurance criteria
  • Handling peak volume, overnight, and weekend inquiries automatically
  • Transcribing calls into searchable text

Who it is for

  • Ecommerce brands.
  • Mid-market teams rather than small operations.
  • Enterprise operations.

From Dixa's own website, read 2026-10-23. How we build listings.

How to evaluate CRM & Sales

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Dixa. It comes from our Customer Relationship Management (CRM) buyer guide.

25%
Adoption & Usability
Time-to-log a deal update, mobile and inbox-native experience (Outlook/Gmail), in-context guidance, minimal required fields, and whether reps get value back (next-best-action, enrichment) rather than only feeding management reports
20%
Sales, Service & Marketing Coverage
Pipeline and opportunity management, forecasting, CPQ/quoting, case and field service, campaign and lead management, and how unified the customer record is across functions versus stitched together
20%
Customization & Extensibility
Configuration vs. code boundary, low-code app building, sandbox/release management, app marketplace depth, and the long-run admin and upgrade burden the flexibility creates
15%
AI Agents & Data Foundation
Quality of embedded copilots and autonomous agents (drafting, lead qualification, record updates), grounding in unified customer data, guardrails and human-in-the-loop controls, and whether agent value is real or demo-ware
12%
Integration & Ecosystem
Native ties to your productivity, ERP, marketing, and data stack, API and event coverage, prebuilt connectors, and the size and quality of the implementation-partner and developer ecosystem
8%
TCO, Licensing & Data Governance
Per-seat vs. consumption/agent-credit cost as AI usage grows, edition gating of must-have features, data residency and privacy controls, certifications (SOC 2, ISO 27001, GDPR), and admin-FTE load

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

dixa.com Pricing page
CategoryEnterprise Applications
SubcategoryCRM & Sales

We publish a detail only when we can point at the page it came from. Know when Dixa was founded or where it is based? Send it to us, free.

Keep reading

Buyer Guide
Customer Relationship Management (CRM)
Job 03
Choose and buy technology

Every vendor now sells AI features, and each contract runs for years.

Job 06
Secure and comply

AI agents act on systems with their own identities, and auditors and boards ask about them.