PRODUCT / PANOVERSE INTELLIGENCE ENGINE
Align orders, media spend, creator content, customer feedback and competitor moves on one timeline. The system detects change, tests the evidence, assigns an action and writes the measured result back into the next decision.
Orders · Paid media · Creator partnerships
Customer conversations · Competitors · Creators
Measured outcomes inform the next decision
Inputs → Detection → Evidence → Action → Measured outcome
01 / DATA FOUNDATION
Sales tell you what happened. Customer conversations and competitor moves help explain where the change came from. Both belong in the same investigation.
Your authorised business records
Read demand alongside sales and available supply.
Order / SKU / StockCompare cost, budget allocation and creative performance.
Campaign / Creative / SpendTrace partnership cost, content output and working history.
Creator / Content / CostAn ongoing view of the market
Identify use cases, recurring friction and shifts in sentiment.
Theme / Sentiment / SourceFollow launches, creative angles and audience response.
Competitor / Angle / EngagementEvaluate your partnerships against the wider market.
Category / Audience / PerformanceOne business question. Internal records and external evidence to examine together.
Revocable OAuth where supported. APIs or exports for other business sources.
Backfill available history to establish a baseline specific to your brand.
Your brand’s data is stored and computed separately. Missing data stays unknown.
02 / INVESTIGATION
Statistical models do the counting. Agents test explanations against supporting and contradictory evidence. Every finding leads back to a record.
WORKED EXAMPLE / PET-HAIR CLEANING
Mentions rise from 20 to 64 over two weeks. The detector compares historical windows; the agent then examines who is speaking and whether one source is driving it.
Source: labelled comments on the same theme. Counts and sentiment are compared across two historical windows.
03 / ACTION & OUTCOMES
A recommendation becomes work with an owner, a baseline and a measurement window. If the result falls short, that stays in the record too.
01THE INTELLIGENCE ENGINE
Puts evidence, priority, expected range and measurement into a proposal.
02YOUR TEAM
Confirms business constraints, scope and budget before work begins.
03PANOVERSE OPERATIONS
Coordinates creator briefs, creative production, budget changes and launch.
BEFORE EXECUTION / ACCEPTANCE TEST
AFTER EXECUTION / OUTCOME RECORD
Within the expected range
Unchanged creative in the same period: 1.8% ER
Paid media CPC
The reduction falls short. The gap is traced to CTR and creative tags, informing the next round of work.
The next proposal draws on this brand’s measured results, including the work that did not meet expectations.
Illustrative workflow · Engagement rates are rounded for display
04 / GETTING STARTED
Use available history to establish a baseline and surface the first opportunities. Data coverage determines what the first investigation can answer.
Supported platforms, available history and execution scope are confirmed before onboarding.