For retail, luxury and automotive leaders

See why customers buy, walk out, or come back

Your POS shows what sold. Your CRM shows what was logged. tolqAI shows what actually happened between your employees and your customers — across every store, showroom and region — and turns it into decisions directors can act on.

  • Understand lost-sale reasons
  • Spot missed sales opportunities
  • Compare stores and regions
  • Verify training actually changes behavior
Sales consultant with a discreet wearable microphone speaking with a customer
The business problem

You know your revenue. You don't know why it is what it is.

Directors responsible for hundreds of employees and dozens of locations can see performance drop — but not what happened on the floor to cause it.

What your existing systems show
  • Revenue, conversion, average basket
  • Traffic, footfall, staffing hours
  • What employees chose to log in the CRM
What decides those numbers — and stays invisible
  • Why customers walked out without buying
  • Which sales opportunities were missed on the floor
  • Whether employees followed the sales process at all
  • Why some stores consistently outperform others
  • Whether recent training actually changed behavior
Why traditional systems can't answer this

POS, CRM and KPI dashboards measure outputs — not the sales conversation

Every existing system reports on what was recorded after the fact. None of them observe the conversation that produced — or failed to produce — the sale.

POS and ERP

Tell you what was sold. They can't tell you which conversations produced the sale, or which ones lost it.

CRM

Captures what employees decide to log. It misses everything that happened before a record was created — including walk-outs.

Traffic and conversion analytics

Show that conversion dropped. They don't show whether it was the greeting, the discovery, the price objection, or the follow-through.

Mystery shopping and surveys

Small samples, delayed, and easy to spot. They don't scale to hundreds of daily conversations across every location.

tolqAI is the missing layer: it makes the in-person conversation itself measurable, and connects it back to the KPIs your leadership team already tracks.

How tolqAI solves it

From the sales floor to a management decision

A single workflow that turns real customer conversations into structured evidence for directors, regional managers and store managers.

01

Capture what actually happens

Record real employee–customer conversations in stores and showrooms using discreet audio setups suited to each environment.

02

Transcribe and remove personal data

Transcribe in your operating languages, including Arabic dialects. Customer personal data can be removed before any manager reviews the conversation.

03

Score against your own sales process

Every conversation is evaluated against your sales standards — greeting, discovery, presentation, objection handling, closing, follow-up.

04

Turn results into management action

Directors see performance by store, region and employee. Store managers see the exact moments to coach on this week.

Business outcomes

What retail, luxury and automotive leaders actually use it for

Not a list of AI features — a list of decisions and management questions tolqAI helps answer, at scale, across every location.

Understand why customers don't buy
Identify missed sales opportunities
Measure employee performance objectively
Compare stores and regions on execution
Improve coaching quality with real evidence
Standardize the customer experience
Verify that sales training changes behavior
Reduce dependence on mystery shopping
Dashboard

Managers see what's actually happening

Store, region, and employee performance in one view — with the underlying conversations one click away.

Dashboard
Store
RC
Choose Data
BTQ
1 Apr 2026 – 30 Apr 2026
Employee
Compare with
Total recorded minutes
328:00:00
Number of dialogues
29
Irrelevant recordings
326:00:06
Relevant recordings
01:59:54
Current result
Welcome & First Contact
69%
Discover Needs
44%
Product Presentation
53%
Closing
46%
Clienteling
44%
Identify top performers and coaching priorities
Spot recurring customer objections
Compare stores, regions, and shifts
Sales process heatmap
01

Sales process heatmap

See exactly where consultants skip steps — discovery, presentation, objection handling, or closing — across stores and teams.

02

Custom scorecards

Model your own standards as measurable stages and criteria — so scoring reflects how your business actually sells and serves.

Custom scorecards
Why tolqAI, not generic AI or call intelligence

Built for in-person selling — not repurposed from a call center product

Call intelligence platforms analyze phone conversations against sales-team playbooks. Generic AI transcribes audio. tolqAI is designed end-to-end for face-to-face selling in retail, luxury and automotive environments — measured against your own sales process.

Built for the sales floor, not the call center

Every workflow, scorecard and metric is designed for face-to-face selling in stores, showrooms and service locations — not phone support.

Your sales standards, not a template

Scorecards mirror how your business actually sells and serves. Measurement is tied to the process your directors already manage.

Works in your languages, including Arabic dialects

Accurate across the languages and regional dialects that generic transcription and global CX tools handle poorly.

Reports on behavior, not identities

Personal data can be removed before analysis. Managers see how the conversation was handled — not who the customer was.

Pricing

Simple pricing, per active user

Starting from
$79/ user / month

Enterprise pricing available for multi-country retail networks with custom scorecards, integrations, and onboarding.

Request a Demo

See what really happens inside your customer conversations.

Book a personalized demo. We'll walk through your industry, recommend the right audio setup, and show how scorecards map to your business.

30-minute personalized walkthrough
Recommended setup for your teams
Answers on rollout, languages, and privacy