Drive customer satisfaction from catalog to delivery, Europe-wide
Spare parts, after-sales, dealership experience, multi-country delivery: the automotive industry manages long, multilingual value chains, and customers who can't afford to wait. Glanceable structures your Voice of the Customer to turn every piece of feedback into an operational lever.
Explain your NPS
Category, carrier, market: understand what impacts your score.
Multi-country and multilingual
Your country teams access their local insights in their working language.
Engaging all departments
Logistics, product, pricing, customer service: each manages its own pain points.
Why automotive players choose Glanceable
Explaining your NPS variations, market by market
Automotive players track NPS as a central indicator but struggle to explain its variations. Glanceable cross-references your verbatims with order metadata (carrier, country, product category) and identifies in a few clicks which factor is lowering your score in which market.
Natively unified multilingual and multi-country analysis
Our automotive clients collect feedback in multiple languages, across multiple markets. Our proprietary AI natively handles multilingualism, allowing you to unify insights without siloing by country, while retaining local granularity for field teams.
Engaging departments beyond CX
The automotive customer experience relies on departments that don't always share the same priorities. Glanceable equips each with its own dashboards and alerts: logistics, product, front & UX, pricing, customer service. A shared governance logic also deployed in omnichannel retail.
Glanceable in Automotive
Automatic thematic analysis of your multilingual verbatims
Our AI automatically identifies themes emerging from your NPS surveys, reviews, and customer service conversations, across all your European languages. Vehicle compatibility, delivery times, part quality, packaging: visualize the share of each pain point and its impact on your score.
Automated reports by market or department
Send each country its automated monthly report, and each department its quarterly dashboard. Your country teams receive their verbatims and pain points in their own language, while your Group management maintains a consolidated view.
An AI assistant to query your Voice of the Customer in natural language
Ask your questions directly to GIO, Glanceable's AI assistant: "What are the most frequently mentioned pain points in the Italian market?", "Compare feedback from France and Germany on the tire category." GIO queries your entire Voice of the Customer data and provides you with a sourced answer.
Mister Auto: +2 NPS points in 2 years with a distributed Voice of the Customer
The challenge
Mister Auto, a subsidiary of the Stellantis group, is one of Europe's leading online automotive parts retailers. Before Glanceable, NPS was tracked as a global score, without the ability to explain it by category, carrier, or market. The volumes of multilingual feedback were too large to be processed manually.
The solution
By structuring its customer feedback in Glanceable and equipping each contributing department (logistics, product, pricing, customer service), Mister Auto transformed its CX management from ad-hoc analysis to continuous empowerment.
The results
+2 NPS points in 2 years
10% reduction in refunds due to vehicle incompatibility
31 licenses deployed across the organization
Jury Prize and Audience Award at the Stellantis Innovation Awards
Since 2020, we have been building the most accurate VoC AI in the European market. Our platform is deployed with major accounts in sectors where reliability, compliance, and speed of execution are non-negotiable.
+100M
of customer feedback analyzed
< 1 month
average deployment
+3 years
of R&D on our proprietary VoC AI
+20
countries covered
"We transitioned from ad-hoc verbatim analysis to empowering teams: each department now manages its own customer pain points."
+2
NPS points in 2 years with a distributed Voice of the Customer
Designed for
business requirements
Glanceable is hosted in Europe on Google Cloud. GDPR compliance is native, and classification traceability is auditable. Multilingual coverage is natively integrated for all European markets.
Glanceable for your industry
An expert VoC AI, tailored to your industry's specific challenges.
Stores, e-commerce, marketplace: a single customer view.
From cart to delivery, anticipate every pain point before it becomes a complaint.
NPS, Customer Service, catalog: manage market by market, multilingually.
A reliable, end-to-end auditable Voice of Customer, hosted in Europe.
Reduce call volume by addressing root causes, not symptoms.
Booking, stay, post-stay: detect invisible CSAT frictions.
Discover Glanceable for automotive
See how to transform your multilingual NPS verbatims into distributed operational action plans.
Frequently asked questions
Yes. The platform is designed for complex automotive catalogs: customer feedback analyzed in its original language, fine-grained comparisons between brands, countries, and segments.
Post-purchase catalog reviews, dealership network feedback, customer service conversations (chat, email, phone, forms), after-sales surveys, carrier claim declarations, Google reviews per dealership, social media mentions. All these sources are ingested and analyzed in their original language, across all covered European markets.
Yes, the granularity is fine. Country, brand, range (city car, SUV, utility vehicle), type of intervention (delivery, warranty, part, accessory). Glanceable's semantic analysis immediately shows you why NPS is declining for a specific model in a particular country, without manually sifting through hundreds of verbatims.
Logistics, product, front-end & UX, pricing, customer service: each team receives its own dashboard with its priority pain points and action plans. Glanceable distributes recommendations where they can be acted upon, rather than centralizing a single report.
That's exactly its purpose. For example, Mister Auto: complaints about "damaged parcels" were attributed to the carrier. Glanceable's analysis cross-referenced customer feedback with shipment weight-volume metadata and identified that the internal packaging was unsuitable for certain parts. Result: investment in a new packaging machine, supplier negotiations, +2 NPS points in 2 years, and -10% in refunds.