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Category 02 / 3034 prompts

Fashion Trend Forecasting & Research AI prompts

34 prompts below ↓ — ready-to-use prompts for fashion trend forecasting & research from Fashion AI School's 300-prompt collection. Fill in the bracketed fields, copy, and paste into your AI tool.

12-month trend radar

Act as a fashion trend strategist. Build a research framework for 12-month trend radar focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Weak signals before they become trends

Act as a fashion trend strategist. Build a research framework for weak signals before they become trends focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Trend signals into product opportunities

Act as a fashion trend strategist. Build a research framework for trend signals into product opportunities focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Trend versus hype filter

Act as a fashion trend strategist. Build a research framework for trend versus hype filter focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Seasonal color forecast

Act as a fashion trend strategist. Build a research framework for seasonal color forecast focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Future silhouette forecast

Act as a fashion trend strategist. Build a research framework for future silhouette forecast focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Competitor trend positioning

Act as a fashion trend strategist. Build a research framework for competitor trend positioning focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Trend research interview guide

Act as a fashion trend strategist. Build a research framework for trend research interview guide focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Trend adoption by customer type

Act as a fashion trend strategist. Build a research framework for trend adoption by customer type focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Cultural signals into Fashion hypotheses

Act as a fashion trend strategist. Build a research framework for cultural signals into fashion hypotheses focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Competitor trend matrix

Act as a fashion trend strategist. Build a research framework for competitor trend matrix focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Trend forecasting workshop

Act as a fashion trend strategist. Build a research framework for trend forecasting workshop focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Future-facing signal research plan

Act as a fashion trend strategist. Build a research framework for future-facing signal research plan focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Seasonal trend report

Act as a fashion trend strategist. Build a research framework for seasonal trend report focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Stress-test a trend forecast

Act as a fashion trend strategist. Build a research framework for stress-test a trend forecast focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

Create a trend-to-product validation sprint

Act as a fashion trend strategist. Build a research framework for Create a trend-to-product validation sprint focused on [MARKET/CATEGORY] and [SEASON/YEAR]. Separate observed signals from interpretation, identify what evidence should be checked, and finish with product, content and timing implications. Use placeholders such as [BRAND], [PRODUCT], [AUDIENCE], [MARKET] or [DATA] where the user should customize the workflow.

ClaudeChatGPT
Macro Trend Synthesis Matrix

Act as an executive fashion forecaster for [target brand category]. Analyze the cultural driver [emerging socio-cultural shift, e.g., digital escapism or climate anxiety] for the [target season, e.g., SS 2026] season. Map this into three distinct commercial narratives: key silhouettes, tactile fabric innovations, and an evocative five-shade Pantone color direction with market rationale.

MidjourneyFlux
Future Runway Concept Render

Editorial runway photography of a model walking in a Paris showcase inspired by [trend concept, e.g., biophilic brutalism]. Wearing an avant-garde [garment type, e.g., structured cocoon coat] crafted from [innovative textile, e.g., translucent mycelium leather]. Dramatic atmospheric lighting, raw concrete set, high-fashion styling, captured on 35mm film, volumetric haze, hyper-detailed drapery --ar 16:9 --v 6.0

KlingVeo
Cinematic Fabric Movement Study

Cinematic slow-motion close-up of a futuristic [textile type, e.g., liquid-metal silk organza] billowing in a soft wind tunnel. Studio rim lighting highlights the intricate weave, micro-pleats, and iridescent sheen in [colorway, e.g., deep cobalt and chrome]. Camera pans smoothly across the moving fabric folds, capturing tactile weight and natural fluid physics.

ChatGPTClaude
Micro-Trend Lifecycle Audit

Evaluate the viral aesthetic [name of micro-trend, e.g., Indie Sleaze revival or Blokecore] across TikTok and runway shows. Break down its lifecycle phase: early adoption, peak saturation, or commercial decline. Provide concrete guidance on how a [brand tier, e.g., contemporary mid-market retailer] can adapt its core styling elements for [upcoming season] without looking dated.

MidjourneyNano Banana
Seasonal Color Moodboard Genesis

Editorial still-life flat lay moodboard for [season, e.g., Autumn/Winter 2026]. Artful composition featuring swatches of [material 1, e.g., bouclé wool], [material 2, e.g., brushed titanium], and raw pigments in [color story, e.g., terracotta, moss green, and slate gray]. Architectural shadows, high-end art gallery aesthetic, tactile textures, studio daylight --ar 4:5 --style raw

HiggsfieldVeo
Urban Street Style Motion

Handheld 4K street-style documentary video capturing youth in [city neighborhood, e.g., Harajuku, Tokyo] wearing [style movement, e.g., neo-cyberpunk utility streetwear]. Tracking camera follows subject as they walk through neon-lit rainy alleyway. Focus on oversized layered silhouettes, modular technical bags, and reflective hardware details, natural documentary color grade.

FluxMidjourney
Dimensional Knitwear Innovation Render

Macro studio macro shot of an experimental 3D knitwear surface designed with [knitting technique, e.g., parametric tuck stitches and floating loops]. Material blend of [fibers, e.g., unrefined raw linen and fluorescent bio-nylon]. High-contrast directional lighting accentuating tactile depth, ribbed ridges, and organic cellular patterns, neutral studio backdrop --ar 1:1 --v 6.0

ClaudeChatGPT
Archival Revival Blueprint

Examine the [decade/era, e.g., late 1990s minimalist Prada and Helmut Lang] archive. Extract five signature design codes regarding [garment focus, e.g., outerwear and utility tailoring]. Recontextualize these codes for a [target consumer demographic, e.g., Gen Z luxury consumer] in [target year, e.g., 2026], detailing necessary changes in proportion, sustainable sourcing, and modern lifestyle demands.

Quick prompt formula

Act as a senior fashion trend forecasting & research specialist. Goal: [what you need]. Brand: [name, positioning, audience]. Input: [product, brief or reference]. Style: [mood, references]. Constraints: [format, length, aspect ratio, tool]. Output: [exact deliverable, e.g. 5 options as a table].

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Questions about this collection

What is in the Fashion Trend Forecasting & Research prompt collection?
34 original prompts written by Fashion AI School for fashion trend forecasting & research work. Each prompt is published in full and unchanged from the source document.
How do I use these prompts?
Open a prompt, fill in the bracketed fields such as MARKET/CATEGORY, SEASON/YEAR, BRAND, PRODUCT with your own brand, product or audience, then copy the finished text into the AI assistant or image generator you already use.
Are the prompts free?
Yes. The full 1,000+ prompt library on AI Creatives is free to read, customise, copy and share. Fashion AI School's live programs, workshops and consulting go deeper into building your own.
Who wrote them?
Fashion AI School, an education and consulting practice focused on practical AI for fashion brands, professionals and students. AI Creatives is its free resource platform.