Cognitive agents for marketing + sales
Nusawan is being designed to connect permitted signals, approved social and retail actions, and observed sales outcomes. Completed sales—not attention alone—inform where teams focus and what they test next.
Phase 01 Social intelligence first Connected retail next
Candidate stores
require local sales evidence
One intelligence layer
From the feed to the shop floor, activity earns investment when it can be connected to observed, established sales. Repeated sales evidence can indicate where demand is concentrated and inform the next bounded expansion test.
Cognitive agents for
The planned workflow moves from scattered trends to approved, platform-aware sales experiments, then connects content and offers to authorized commerce outcomes so online activity can be judged by attributable sales evidence.
Cognitive agents for
The planned workflow turns store context into approved local sales experiments, then connects promotions and team actions to available POS outcomes so shop-floor activity can be judged by attributable sales evidence.
Designed for a fragmented world
Nusawan is being designed to turn permitted signals and business-owned analytics into channel-ready drafts—with platform context, brand voice, and human approval built into the workflow.
See the coverage modelCoverage is not equal or universally real time. Bluesky supports live public-network signals; YouTube supplies official discovery data; and X access is paid and policy-limited. Owner-authorized or vetted workflows apply to Pinterest, LinkedIn, Facebook, Instagram, WhatsApp Business, Google Business Profile, and installed Discord servers. Telegram is not enabled for AI trend ingestion under current terms. TikTok, Lemon8, UpScrolled, and Fanbase are human-curated; DiVine and Skylight are protocol pilots; Noplace requires explicit permission. WhatsApp Business and Google Business Profile are business-operation surfaces, not market-wide trend feeds.
The sales evidence loop
Reach, engagement, visits, and footfall are useful leading indicators. Nusawan treats them as hypotheses until completed sales provide evidence.
Combine permitted signals, authorized insights, business context, and human research to identify a specific audience, place, product, and reason to buy.
Your team reviews a channel-specific content, offer, promotion, or store action before anything publishes or changes in-store.
Where integrations permit, connect campaign, commerce, POS, inventory, and timing data to completed sales. Incomplete attribution is labelled with its confidence—not presented as causality.
Compare repeated sales evidence by audience, geography, product, and channel—and margin where authorized cost data is available. Market share requires total brand sales and qualified total category sales for the same market universe; incomplete brand coverage is reported as sales contribution instead.
Recommend repeating supported patterns or testing adjacent segments and locations, then feed observed outcomes into the next recommendation—with human approval at every move.
Nusawan principle 01
Not every trend deserves investment. The planned decision record weighs audience, objectives, voice, timing, risk, and commercial context—then asks whether sales were observed after approved action and whether a designed comparison supports incrementality. Margin is considered where authorized cost data is available.
Illustrative interface. Statuses require connected outcome data and do not guarantee sales, causality, or market share.
Built around your judgement
Use only the accounts, signals, and first-party context your team chooses to connect.
Recommendations carry their source, outcome, and attribution confidence so teams can distinguish observation from inference.
Publishing and store actions remain behind explicit team review and authorization.
Early access
Start with approved social sales tests. Extend the same evidence loop into connected retail, then recommend expansion where repeated sales evidence supports the next bounded test.
Talk to Nusawan