What is F-Predict?

What F-Predict does

Most forecasting output describes a season. F-Predict describes a season inside a specific market. The unit of work is not "SS27" but "SS27 womenswear denim in India, read through the emotion of confidence" — and every stage of the run is conditioned on that scope.

The platform is built on the principle that a forecast is only as good as the evidence underneath it. Rather than starting from a palette and justifying it afterwards, F-Predict gathers observable signals first — what brands actually shipped, what materials mills are actually promoting, what is actually moving on street and on screen — and derives direction from what that evidence collectively says.

What you give it: the scope

A run is defined by a small set of scope parameters. Change any one and the whole forecast changes.

Category and subcategory

Sixteen product categories including Tops, Bottoms, Dresses, Business Suits, Outerwear, Activewear, Denim, Indian Ethnic/Traditional Wear, Swimwear, Intimate Wear, Footwear, Accessories, Bags, Jewellery, Eyewear and Home & Decor — each with its own subcategories, and several with dedicated non-garment reasoning so a bag is analysed as a bag and not as a dress.

Region

A specific market, or Global. Regional scope drives which sources are retrieved, which cultural calendar applies and which local platform culture is read — see localized fashion forecasting.

Gender

Womenswear, menswear, or all genders — applied consistently across every stage, including the generated imagery.

Season and year

The target season you are planning. Evidence is anchored to the present day; the season is the destination, never the date of the evidence.

Consumer emotion

Up to three emotions from a 25-emotion taxonomy grouped into Empathy, Enjoyment and Assurance. Emotion is used as a lens on the evidence, not as a lookup table that returns a fixed palette.

Brand context (optional)

Point F-Predict at your own website and it derives your brand archetype and audience, then re-reads every stage through that lens.

Custom context (optional)

Free text for anything the dropdowns cannot express — a price architecture, a distribution channel, a specific consumer you are chasing.

What it runs: ten stages

A full forecast is a pipeline. Each stage is independently sourced, and the synthesis stages can only use what the evidence stages actually found.

1. 1

   Your brand

   Optional. Crawls your site to derive archetype, positioning and target audience, which then conditions every stage below.

2. 2

   Consumer map

   The cultural and behavioural snapshot for the scope: what is shifting in how this consumer lives, spends and signals identity.

3. 3

   Street trends

   What is being worn and adopted on the ground in the specified market, and by whom.

4. 4

   Material intelligence

   Textile and trade-fair signals reasoned from the scope — which materials are emerging and, crucially, why.

5. 5

   Narrative intelligence

   Influencer and emerging-trend movements plus viral screen culture, screened for whether they carry real commercial weight behind them.

6. 6

   Catwalk intelligence

   Runway direction mapped to the scope — theme, silhouette, print and material, translated to the category being planned.

7. 7

   Designer campaigns

   What brands actually put in market: campaign imagery, product colour and merchandising language.

8. 8

   Colour direction

   Themes and palettes synthesised from the colour evidence the stages above collected, with Pantone TPX matching.

9. 9

   Design intelligence

   The translation layer: silhouettes, details, prints, trims and materials expressed as product direction.

10. 10

    Design board

    Generated visual boards built from the direction, in the correct product framing for the category.

What you get out

• A colour direction with named themes, harmonies and Pantone TPX references.
• A material and trim direction with the reasoning behind each call.
• A print and pattern direction matched to emerging movements rather than generic motifs.
• A range architecture: stories, option counts, and what should carry over versus be newly developed.
• Generated design boards for each direction.
• Per-stage source citations and a grounding indicator, so a claim can be traced.
• Exportable and shareable output — PDF, palette exports, saved analyses and publishable reports.
• A shared team workspace where signals and images can be pinned, reviewed and decided on.

Who it is for

Design and product teams building a range; colour and CMF specialists; buyers and merchandisers deciding what to repeat and what to replace; brand and marketing teams who need a defensible reason behind a seasonal story; and independent designers and consultants who need forecasting depth without an agency retainer.

How to try it

F-Predict runs in the browser at /predict. Anonymous visitors get four free analyses; registering adds a welcome credit balance so you can complete a full run before deciding. Current plans are on the pricing page.