Solutions · Market Intelligence

Every conversation, turned into product & market intelligence.

This is where Commerce.AI began: reading 100% of your conversations with frontier embeddings, clustering them into living topics, and surfacing the emerging trends, voice-of-customer signals and competitive mentions that move Product, Marketing and Strategy, with forecasts, not just rear-view reports.

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LiveTrend radar800M+ convos · rolling 90d

2,418

topic clusters

emerging

+18%

forecast · 30d

↑ self-checkout friction +212% delivery windows 1.4k ↑ price match +88% loyalty tier 920 app login 640

See it in action

Watch auto-AGENTS™ in action.

Product tour · 2:00

Conversations analyzed

Coverage, not 2% sample

Topic clusters

Languages, unified

Forecast horizon

Signal to dashboard

What it surfaces

Topic clusteringEmerging trendsAnomaly detectionVoice-of-customerCompetitive mentionsProduct feedbackPredictive forecastingChurn & intent signals

The intelligence pipeline

From raw conversation to a decision your team can act on.

Frontier embeddings read every call, chat, email and review, across every language, and organize the unstructured noise into structured, queryable intelligence. No keyword rules, no 2% sample, no waiting for the quarterly deck.

1Embed 2Cluster 3Detect 4Forecast 5Route

01 · Embed & cluster

Topic clustering over 100% of conversations.

Every interaction is embedded into a shared semantic space, then clustered into living topics that merge, split and re-rank as your market shifts. Synonyms, slang and 155+ languages collapse into one canonical theme, so “won’t scan,” “self-checkout broken” and a French equivalent all land in the same signal.

2,418

auto-discovered topics

100%

conversations embedded

Topic clusterssemantic · auto

↑ self-checkout friction +212% delivery windows 1.4k returns & refunds 1.1k ↑ price match +88% loyalty tier confusion 920 app login 640 gift card balance 480 store hours 410

02 · Detect & forecast

Catch the spike on day one, not in the quarterly review.

Anomaly detection watches every cluster’s velocity and flags the breakouts: a sudden surge, an unusual sentiment swing, a brand-new topic with no history. Predictive forecasting then projects each emerging trend forward, so you see where demand and frustration are heading 30 days out.

Inside Insights →

Emerging signalsanomaly engine

!New topic · “app crash after update”spike +340%

!Sentiment drop · checkout flowanomaly

↗Rising · same-day delivery demandforecast +18%

✓Resolved · login outage chatterdecaying

03 · Voice of customer

The themes, the volume, and the exact words behind them.

Every theme comes with representative verbatims drawn straight from real conversations, so a number on a chart becomes a quote a PM can paste into a ticket. Volume and trend sit beside each theme, and you can drill from any bar to the underlying transcript snippet.

100%

interactions, every channel

<60s

signal to dashboard

Voice of customerlast 30 days

Self-checkout reliability↑ +212%3,140

“The scanner froze twice and there was nobody to help, I just left the cart.”

Delivery window accuracy+12%1,420

“It said 2–4pm and showed up at 7. I rearranged my whole afternoon.”

Loyalty tier confusion+6%920

“I have no idea how many points get me to the next level.”

04 · Competitive mentions

Hear what your customers say about everyone else.

auto-AGENTS™ tag every competitor mention in the wild, who’s being compared, on what dimension, and with what sentiment. Surface why a customer almost switched, which feature keeps coming up, and where a rival’s pricing is pulling at your base, all grounded in real verbatims.

+88%

price-match mentions ↑

competitors tracked

Competitive radarshare of voice

Price & promotions↑ +88%1,210

“A competitor had the same item 15% cheaper with free shipping.”

App experience+9%560

“Their app just feels faster when I’m checking out.”

Loyalty perks+4%300

“I switched because their rewards are way easier to redeem.”

Closed feedback loop · MCP

Intelligence that doesn’t stop at a dashboard.

The signal isn’t useful until it reaches the team that can act on it. auto-AGENTS™ route each insight to its destination, a product backlog, a campaign brief, a strategy review, over the Model Context Protocol, then watch the next wave of conversations to confirm the fix actually landed.

Feedback loop · conversations → intelligence → teamslive

Why it matters

Decisions get faster, sharper, and earlier.

Total coverage

Every conversation counts, not a 2% manual sample. The long tail of edge cases and emerging issues finally shows up before it becomes a fire.

See around the corner

Predictive forecasting projects each trend 30 days out, so Product builds for what’s coming and Marketing campaigns ride demand instead of chasing it.

Quarter-to-real-time

The voice-of-customer report stops being a slide deck. Signal reaches the right team in under a minute, grounded in the exact words customers used.

Who it’s for

One signal, three teams, no translation tax.

The same intelligence layer serves the whole org, each team gets the cut that matters to them, drawn from the identical source of truth.

Product

Feedback loops, automated

Emerging pain points, feature requests and bug surges land in the backlog with volume, sentiment and verbatims attached, prioritization grounded in what customers actually said.

Marketing

Messaging that lands

See the language customers use, the competitors they weigh, and the demand that’s rising, so positioning, campaigns and content track the market in real time.

Strategy

Forecasts, not rear-views

Trend forecasts, share-of-voice shifts and anomaly alerts feed planning directly, turning the contact center from a cost line into the company’s sharpest sensor.

Routes to your stack

170+ connectors. Push intelligence where teams already work.

FAQ

Market Intelligence, answered.

Keyword rules only find what you already thought to look for. Market Intelligence embeds the full meaning of every conversation, so it discovers topics you never defined, including brand-new ones, and clusters them across slang, synonyms and 155+ languages. A BI dashboard shows you the past; forecasting projects each trend forward.

Yes. Every call, chat, email and review is embedded and scored, not a 2% manual sample. That full coverage is what lets the anomaly engine catch low-frequency, high-impact signals on day one instead of after they trend.

Each topic cluster carries a time series of volume and sentiment. The model projects that series forward, typically a 30-day horizon, with a confidence band, and flags clusters whose forecast crosses a threshold so Product and Strategy can act before demand or frustration peaks.

Over MCP and 170+ connectors. Emerging topics can open or annotate Jira/backlog items for Product, push voice-of-customer briefs and share-of-voice shifts to Marketing, and feed forecasts into BI tools like Power BI, Snowflake and BigQuery for Strategy, every signal grounded in representative verbatims.

SOC 2 Type I & Type II, HIPAA, ISO 27001, PCI and GDPR, plus EU AI Act alignment, with field-level encryption, tenant-scoped KMS, PII redaction and an immutable audit trail. Deploy in our cloud, your VPC, on-prem or pinned to a region.

See your market

Bring your conversations. We’ll show you the trends inside them.

In 30 minutes we’ll cluster a slice of your real conversations, surface the emerging signals, and forecast where they’re heading, on your data, in your languages.

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