Show brands what competitors just put on the rack.
A fully spec'd competitive intelligence system for athletic and lifestyle apparel — one product photo in, structured market data out, designed to land inside the PLM rather than next to it.
Design and merchandising teams in athletic and lifestyle apparel spend weeks assembling competitive sets by hand: combing competitor sites, screen-scraping product pages, eyeballing fabric blends, tracking colorways across price tiers. By the time the deck lands, the line has already moved.
We took the problem on directly: could AI compress that work to seconds, from one image, and land the answer inside the team's existing PLM workflow?
We prototyped it inside a week.
Three constraints shaped the build.
One input. A product photo — on-body or standalone — is the only thing a designer should have to provide. No prompt engineering. No taxonomy selection up front. The photo is the prompt.
Real catalog data. Matches come from live competitor catalogs — Lululemon, Ten Thousand, Athleta, Fabletics, Gymshark, TLF, and mass-market — with style names, fabric composition, current pricing, and color variants attached.
PLM-native. The output lands as structured data inside the product lifecycle management workflow the team already uses — not as a PDF, not as a separate dashboard to log into.
That last constraint is the one most "AI for fashion" pitches skip. It's the one that decides whether the tool gets used.
A competitive intelligence API that takes a single garment image and returns structured market data — ready to land inside the PLM workflow the team already uses.
V1 is the foundation. We spec'd four months of follow-on builds across five extension domains — so a partner brand can compose their own roadmap without a meeting to figure out what to fund next.
Review aggregation, sentiment scoring, and customer profile mapping across the competitive set.
White-space analysis, trend gap identification, and seasonal opportunity mapping by category.
Color-name analysis, fabric performance benchmarking, silhouette matching, and cross-gender trend signals.
Competitor stock-level tracking, dynamic price monitoring, and supply chain insight signals.
Batch processing for full seasonal collections, competitor-launch alerts, and deeper PLM hooks.
Built to land inside the PLM, not next to it.
On-body lifestyle shot or flat product shot — either works. Multi-piece detection automatically separates tops and bottoms for independent analysis.
No prompt engineering required. No taxonomy choice required up front. The system infers garment type, category, and gender cut from the image itself.
Visual similarity search runs across live competitor catalogs — from premium to mass-market — so the brand sees where it sits in the price landscape, not just one slice of it.
Same-color matches surface first. Alternate colorways are surfaced to reveal trend gaps. Match confidence is visible per result, so the user can act on certainty, not vibes.
Style name, fabric composition, current price, promotional status, size range, availability, and full color variant lists — normalized so cross-competitor comparison just works.
Named colors, not "blue." Cerulean Heather. All fields structured for PLM import without manual cleanup.
REST API with token-based authentication. Output schema designed to map to standard PLM data models. Custom field mapping available so the brand's internal naming wins.
Webhook hooks for competitive launch alerts. On-prem deployment option for security-sensitive accounts. The integration is the product.
Traditional competitive set assembly takes one to three weeks per category and is stale on delivery. The Garment Insights prototype was hand-built in days. The full V1 specification and five-domain extension roadmap were ready inside three weeks.
What that means for a partner brand: structured competitive data on your own catalog by the end of month one.
Manual screen-scraping. Stale on delivery.
Live catalog data. Structured for the PLM.
Fashion Insights wasn't built for a demo. It was built the way we approach every brief — from the problem backward, with the integration question answered before the architecture question, and a clear path from V1 to a full extension roadmap.
From a standing start to a fully documented, deployable system design in under three weeks. That's the pace and the depth we bring to any brief — campaign systems, branded AI experiences, interactive activations, competitive intelligence tools.
We work with one client at a time. Tell us what you're working on — we'll tell you if we're the right fit. Project engagements typically start at $50,000.
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