Boost customer satisfaction, loyalty, and retail performance with AI
Turn surveys, tickets, calls, reviews, and community posts into ranked drivers and next-best actions—by region, store, journey, and persona.

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%
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%
Reduced support contacts by tapping ticket insights to drive improvements, not just resolutions.
Your Customer OS

Give your team superpowers
Outcomes, not dashboards
Outcomes, not dashboards
Turn customer feedback into outcomes
Unify customer feedback for teams to instantly understand performance drivers, customer issues, and priorities.

AI agents that do the work
Agents cluster themes, quantify drivers, & surface evidence with counts & quotes—across stores, regions, segments.

Empower stores and HQ
Deliver outcomes to HQ and frontline teams, so they fix issues fast—with clarity, ownership, and confidence.
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.
Identify positive signals, craft messaging by segment/journey, and generate copy that sounds like customers—not your org chart.
Get inspired by real prompts
How retailers are putting their data to work
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.

Built for scale & safety
Enterprise controls for data, models, and agents
Enterprise controls for data, models, and agents
Total control
Manage model access, data residency, MCP controls, privacy policies, integrations, and agent rules globally.

Connected to your enterprise stack
Activate customer intelligence across your systems and workflows.

PII protection by default
NEXT removes personally identifiable information from your data automatically.
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?
Is NEXT AI “reliable,” or is it just AI summaries?
How fast can a retail deployment start?
What about GDPR/PII and security for retail + contact centers?
What is “voice of customer retail”?

