D2C apparel · ethnic wear · bridal · footwear · accessories. Size-colour matrix · lookbook-to-PDP · return-rate from 42% → 18%.
Schedule a drop: lookbook card + size chart + CTA fires on WA. 38% open-rate vs 11% for email. First 100 orders placed in under 9 minutes on median tenant.
AI size-recommender runs on buyer's body-profile + past purchase history. Correct-size nudge on WA before dispatch drops size-mismatch returns by 57%.
Every influencer link carries a signed affiliate token that survives Insta link-in-bio redirects, Meesho deep-links, and WA share chains. Zero dark-social blind spot.
Generic CRMs don't understand size-colour SKU explosions, drop-mechanic urgency, look-to-purchase content lag, or influencer commission reconciliation. Wendesk's fashion overlay does — out of the box.
A single style in 6 sizes × 8 colours × 2 fits = 96 SKUs. Without a variant-aware inventory model, oversells and phantom stock drain margin. Wendesk's variant matrix handles 500+ SKUs per collection with atomic stock decrement across all channels.
Size mismatch drives 60% of fashion returns. Without fit guidance at the point of WA enquiry, buyers guess and return. Wendesk's AI size-nudge — body-profile + past purchase data — drops return rate from industry-baseline 42% to 18% on the median cohort.
Brands shoot a collection 6 weeks before drop. Assets stall in WhatsApp chats, Canva exports, and Google Drive folders. By drop-day, half the shoot isn't live. Wendesk's media pipeline ingests Canva exports, auto-tags SKUs, and queues assets for Shopify + Insta in one flow.
Insta link-in-bio, WA share chains, and Meesho deep-links all break standard UTMs. Brands pay ₹40,000 commissions on unattributed orders. Wendesk's signed affiliate token survives every redirect hop — zero dark-social blind spots.
Limited drops need tight stock pre-allocation. Over-stocking a colour kills margin; under-stocking kills the viral window. Wendesk surfaces pre-drop WA interest signals (saves, catalogue requests, DM enquiries) to calibrate per-colour allocation 72 hours before drop.
Fashion has the highest repeat-purchase variance of any D2C vertical — a buyer who repurchases within 45 days is 6× more likely to become a brand advocate. Wendesk surfaces which cohort each buyer is in, the criteria that define the boundary, and the trend vs the prior 90-day window — powering every drop broadcast, influencer seeding list, and reactivation drip.
7 custom objects ship out of the box for Fashion. Add your own — bridal intake form, franchise outlet, try-on booking, alteration order — in the admin, no code.
Season · drop-date · lookbook-URL · mood-board · number of styles · status (draft → shoot → live → clearance)
Style-number · size · colour · fit-type · fabric · barcode · MRP · sale-price · stock-by-warehouse
Linked collection · Canva export URL · Shopify media queue status · Insta tag list · publish-date
Phone · size preferences · body-profile · LTV · cohort-id · WA opt-in · DPDP consent · NPS
Order · reason-code (size · quality · style) · QC photo · refund-route · triage-classifier verdict
Influencer handle · affiliate token · platform · commission rate · attributed orders · payout status
Consent at WA opt-in + order · DSR erasure-ready · 90-day data-retention on lapse
HSN auto-coded by fabric type · e-invoice IRN above ₹5 Cr turnover
Mandatory BIS labelling check before lookbook publish for children's wear (IS 1134)
Consumer Protection Act 2019 — 7-day return window + exchange policy disclosed at checkout
Fashion ships with five pre-built WhatsApp flows — collection-drop broadcast, size-fit guidance before dispatch, return-pickup scheduling with QC photo, post-delivery NPS + repeat nudge, and lapsed-buyer reactivation with influencer code.
Schedule a drop in Wendesk: lookbook card + size chart + buy-link fires to your WA broadcast list at the exact drop time. Vernacular EN + HI. 38% open-rate on median tenant.
WA bot checks buyer's saved size profile before shipping. If a mismatch is flagged, it proactively offers a size-swap with no return needed — cuts size-mismatch RTO by 57%.
Buyer triggers return via WA keyword. Slot picker for pickup + QC photo prompt auto-sent. Triage classifier resolves 60% of returns (valid refund · size-swap · quality reject) without a human touch.
T+2 post-delivery: 1-tap NPS card on WA. 4★+ → repeat-purchase coupon + new arrival teaser. 1-2★ → retention offer + escalation to human agent.
<b>EN + HI from launch.</b> All flows ship in EN + HI. Marathi · Tamil · Telugu on Pro tier — important for ethnic wear and regional bridal brands.
Industry baselines from D2C apparel, ethnic wear, and bridal brands in the V1 codebase. Median cohort results — your numbers vary by drop mechanic and price point.
AI size-nudge before dispatch + QC-photo return triage. Correct-size fit guidance cuts size-mismatch RTO by 57%.
from 42% baselineWA broadcast + pre-drop interest scoring allocates stock by colour demand signal 72 hrs before drop.
from 31% baselineSigned affiliate token survives Insta bio redirects, WA share chains, and Meesho deep-links. Near-zero dark-social leakage.
from 58% baselineCohort-triggered WA reactivation drip + post-NPS repeat nudge lifts repeat-purchase on the style-loyalist cohort.
from 17% baselineOnce you grant scoped access at mcp.wendesk.com, your agent can interact with your tenant data — gated by the same 3-part permission matcher as the dashboard.
// Claude calling Wendesk via MCP — schedule a collection-drop broadcast POST https://mcp.wendesk.com/mcp Authorization: Bearer eyJ... { "jsonrpc": "2.0", "method": "tools/call", "params": { "name": "industry.fashion.collections.scheduleDrop", "arguments": { "collectionSlug": "gulabi-summer-2026", "dropAt": "2026-06-15T05:30:00Z", "lookbookUrl": "https://rasastudio.in/gulabi", "broadcastSegment": "style-loyalist", "locale": "hi" } } } // 200 OK — broadcast queued, 2,870 recipients { "broadcastId": "bcast_gS7pF3", "recipients": 2870, "scheduledAt": "2026-06-15T05:30:00Z", "locale": "hi", "audit": "via=mcp · client=claude-desktop" }
D2C apparel founders, ethnic wear brands, bridal labels — drop your phone or chat on WhatsApp. We respond within 90 minutes, in English or Hindi.