B2B fashion trend intelligence

Built for the
Merchandiser. Demand Planner. Campaign Manager. Search PM. Editorial team. Data Analyst. Merchandiser.

Daily micro-trend signals from TikTok, Instagram, Reddit, and Google Trends. Schema-controlled output, internal data integration, and a deployment model that survives enterprise legal review.

Become a design partner See how it works
13
EU markets at launch
73%
of TikTok trends die within 14 days
6โ€“8wk
to first signal vs. 24-week in-house build
8
independent external signal sources

The capability gap

What no vendor on the market delivers today

Every enterprise fashion retailer surfaces the same four requirements after a serious build-vs-buy review. No existing vendor addresses all of them.

โšก

Daily-cadence micro-trend detection

73% of TikTok trends die within 14 days. CNN-retrained vendors operate on days-to-weeks retraining cycles. WGSN forecasts 12-24 months ahead. Neither serves the Gen Z purchase window.

๐Ÿ—‚

Schema control

Enterprise clients need structured data products in their own schema, queryable via Athena, BigQuery, or Databricks. Every existing vendor delivers dashboards or proprietary APIs. None delivers customer-defined schema-conformant output.

๐Ÿ”—

Internal data integration

The 50+ cohort is the fastest-growing fashion spending segment. No external social signal covers it. The only viable source is the client's own behavioural data. No vendor integrates client-internal signals with external extraction.

๐ŸŒฟ

Ontology governance

Clients want to own their taxonomy, evolve it as fashion evolves, and extend it without retraining. All surveyed vendors use proprietary locked taxonomies. You cannot modify, version, or extend the schema.

Vendor Daily cadence Schema control Internal integration Ontology governance
โšก Trendorr โœ“ โœ“ โœ“ โœ“
WGSN โ€” โ€” โ€” โ€”
Heuritech / Luxurynsight partial โ€” โ€” โ€”
EDITED shelf only โ€” โ€” โ€”
Multi-vendor stack ($370K-$940K+/yr) partial โ€” โ€” โ€”

Architecture

Three layers. One signal.

Trendorr's hybrid deployment keeps your internal data in your environment while the shared signal fleet runs at scale.

Layer 01

Signal Fleet

Ingests from 8 external sources: TikTok, Instagram, Reddit, Google Trends, Pinterest, YouTube, editorial forums, and curation platforms. Shared across tenants. Updates daily across all 13 EU markets.

Trendorr-hosted ยท shared
Layer 02

Concept Engine

Per-tenant concept registry with your ontology. Cross-source confidence scoring. Demographic segmentation (Gen Z, Millennial, 50+). Cross-market concept linking via semantic embeddings - no per-market keyword lists needed.

Trendorr-hosted or BYOC
Layer 03

Connector Agent

Open-source agent deployed in your environment. Integrates your catalog, inventory, and behavioural data. Sends aggregate responses only. No client PII or raw data ever leaves your VPC.

Client-deployed ยท open source

Pricing

Start with signals. Scale to full integration.

Three tiers structured around your deployment readiness. Annual commitment, monthly invoicing. Implementation fee applies to Hybrid and BYOC.

Signal-Only
$5K/month
Read-only access to processed trend signals. REST API or dashboard. Good entry point for pilots and smaller teams.
  • Daily micro-trend signals
  • 13 EU markets
  • Demographic segmentation
  • REST API + web dashboard
  • Structured JSON output
BYOC Enterprise
$60K/month
Full concept engine software deployed in your own VPC. Your LLM provider. Complete data residency. Dedicated SLA.
  • Everything in Hybrid
  • Deployed in your VPC
  • Your LLM: Bedrock, Vertex, Azure
  • Full concept registry ownership
  • 99.9% uptime SLA
  • Available on AWS Marketplace

Become a design partner

We're working with 2-3 design partners at discounted rates in exchange for co-development input and case study rights.

B2B only. European fashion retailers prioritised. We respond within 2 business days.