Every store, acting on what customers are saying

From what customers love to what needs fixing — actions delivered to every location, every week.

Action turns customer feedback into faster fixes across stores and channels—helping earn top shopper awards across EU markets.

Rituals turns omnichannel customer feedback into store-ready actions—improving experience across digital and in-store touchpoints.

BSH’s CMI team accelerates customer feedback loops for marketers, touchpoint owners, and product managers.

↑40%

Store autonomy gain

less carts abandoned

Increased store-driven decisions and actions, shifting execution from HQ to frontline teams.

↓99%

Less manual work

Reduced time-to-insight from weeks to minutes by automating feedback analysis with AI.

↑25%

Improved NPS

Improved NPS by uncovering the “why” behind scores and prioritizing fixes with the biggest impact.

↓20%

Lower support volume

lower support volume

Reduced support contacts by tapping ticket insights to drive improvements, not just resolutions.

Actions, not dashboards

Customer, store, network, and competitor signals become store-level action plans. What to fix, what to double down on, what to change — delivered to every store manager, every week.

Retail teams drive performance with NEXT AI
Deliver customer outcomes, with confidence

Loyalty program optimization

Improve loyalty mechanics & offers by analyzing what customers love, misunderstand, or resent — with impact sizing.

In-store experience (store & region)

Spot irritants tied to queues, availability, staff knowledge, navigation, and price perception in surveys, reviews, tickets, and calls.

Journey comparisons

Compare in-store vs online experience gap, incl. themes, verbatims and counts. Produce a fix-first list for execution.

Local intelligence at store level

Cross Google reviews and store feedback to produce store/region playbooks: what’s unique locally, what to replicate, what to fix first.

Performance steering

Answer: “Why did category X drop 5%?” with customer result drivers (stockouts, service gaps, quality perception, pricing clarity)—not guesses.

Marketing messaging

Market steering with real customer language

Market steering with customer language

Identify positive signals, craft messaging by segment/journey, and generate copy that sounds like customers—not your org chart.

Get inspired by real workflows
How retailers are putting their data to work

  • What are the top complaints about checkout by store format?

  • Why did NPS drop in France this month? Break down by themes, verbatims, and counts.

  • Which categories drive the most ‘out of stock’ mentions—and where?

  • Compare top-performing stores vs bottom: what customers praise vs criticize.

  • the 5 biggest service themes (store navigation, staff, cleanliness, product choice, price range…)?

  • What are the top return reasons customers mention? Quantify by category.

  • Create a store playbook : top fixes this week + suggested owner teams.

  • Scan our Q1 checkout roadmap in Confluence and identify gaps what customers are actually unhappy with.

  • Create copy for in-store Wow! campaigns based on what customers love about shopping with us.

In 2025, Action was ranked retailer of the Year in France, Germany, Austria, Italy, and the Netherlands.

Join our invite-only webinar to learn how top retailers use NEXT AI to turn omnichannel feedback into better results, faster.

Join our invite-only webinar to learn how top retailers use NEXT AI to turn omnichannel feedback into better results, faster.

Your data. Your rules.
Designed to meet the security, privacy, and compliance requirements of the most demanding enterprises.

Total control

Manage model access, data residency, MCP controls, privacy policies, integrations, and agent rules globally.

Identity and access management

SAML-based SSO for secure login. SCIM provisioning to manage users and groups automatically.

PII protection by default

Personally identifiable information is removed from your data automatically. The LLM never sees PII.

Questions & Answers

What is Voice of the Customer (VoC) in retail?

Why aren’t CX metrics (NPS/CSAT) enough anymore?

What retailers is NEXT AI built for (e.g., multi-store networks)?

What retail data sources can NEXT AI analyze?

Does NEXT AI replace Zendesk, Qualtrics, or Medallia?

How does NEXT AI integrate with Zendesk for retail support?

Can NEXT AI produce store-level insights (“by store / region / format”)?

Can NEXT AI produce store-level insights (“by store / region / format”)?

Can NEXT AI connect VoC to business goals (revenue, margin, costs)?

Can NEXT AI connect VoC to business goals (revenue, margin, costs)?

Is NEXT AI “reliable,” or is it just AI summaries?

How fast can a retail deployment start?

Can NEXT AI use Google Business Profile / Google Maps store reviews?

Can NEXT AI use Google Business Profile / Google Maps store reviews?

What about GDPR/PII and security for retail + contact centers?

What is “voice of customer retail”?

How do you do store verbatim analysis (“verbatim analysis by store/region”)?

How do you do store verbatim analysis (“verbatim analysis by store/region”)?

How can you use Google store reviews to improve customer satisfaction?

How can you use Google store reviews to improve customer satisfaction?

How do you use Zendesk for retail to reduce contacts and improve CX?

How do you use Zendesk for retail to reduce contacts and improve CX?

Move faster, with confidence.

Move faster, with confidence.

Move faster, with confidence.