— A senior buyer's instinct, now software
TrendSense reads your sales, the Indian festive calendar, and the shows that move the season — then tells you what to buy, when to ship, and how deep to go. With the warmth of a buyer who remembers every mistake.
— The premise
“A spreadsheet can't feel the calendar.
A senior buyer can.
We wrote her instincts into software.”
— A 247-attribute taxonomy
12 of 64 colours · 247 attributes total · click any swatch
Anaita Verma · senior buyer (composite character)
— The voice in the engine
Anaita Verma is the senior-buyer voice TrendSense was built around — a composite drawn from a dozen years of Indian D2C womenswear buying decisions. She remembers over-buying bandhani in monsoon 2024, ₹80 lakh in dead stock, marked down at fifty-five percent. She remembers under-buying zari co- ords for Diwali 2022 and the sound of customers calling for stock that had walked out the door three weeks earlier.
Every brief she writes carries that scar tissue. When the signal is strong, she says load it. When the signal is thin, she says watch, don't load — and tells you exactly what would change her mind.
60-sec brief
Anaita opens the week
The occasion mix in Q2 2026 is unambiguously dominated by the wedding-ritual cluster — Haldi, Mehendi, and Bridal are the only three attributes with both score momentum and a clear delivery window. Evening Wear and Cocktail are holding steady but are passenger categories this quarter, not drivers. Everything outside the wedding orbit — Festive, Loungewear, Puja, Workwear — is either structurally off-season or structurally weak.
↳ Composed by Anaita against your peers' data, refreshed weekly.
— Three moments
I
— The buyer at 11pm
“Did I over-buy bandhani again? Show me how it ran last monsoon.”
The Forecasts dashboard pairs 26 weeks of your actual sales with a 12-week look-ahead. The over-buy and under-buy are visible before you commit to the next cycle.
II
— The merchandiser at 3pm
“What's Sabyasachi loading for Couture 26 that I'm absent on?”
The runway corpus tracks 30+ Indian designers across the four current seasons. Every look is tagged so absent attributes — colours you don't carry, silhouettes you've ignored — surface immediately.
III
— The founder in the board meeting
“Show me ₹ at risk if I don't reorder before Diwali ship-by.”
The Assortment Plan view compounds 26 weeks of forecast with the festive calendar, then surfaces reorder lead times by category. Surat takes eight days; the maths shows when the window closes.
— How it works
I
30 / 60 / 90-day forecasts with calibrated 80% prediction bands. The Forecasts dashboard reports its own accuracy, live.
II
42 demand-shifting windows — Diwali, Karva Chauth, wedding season, EOSS — with per-event category lifts baked into the forecast.
III
New SKUs borrow signal from semantically similar products in your own catalogue. No generic model talking down to you.
IV
Each reorder is sized to balance stockout cost against holding cost. High-margin SKUs get cover; slow burners get cleared.
V
Colour, fabric, silhouette, print, occasion — covering Anarkali to Co-Ord. Every product on every surface is tagged.
VI
AI-tagged runway and editorial images per trending attribute. Briefs in the voice of Anaita.
— Sustainability, scored
Forty fibres rated on global-warming potential, water use, chemistry, and fossil burden — drawn from publicly-available life-cycle assessments. So when a buyer reaches for cotton- modal over polyester, they know what the trade-off costs.
Cover artwork rotates each quarter. Currently: Festive opening.
— Ready
Connect your Shopify, sync the last 180 days, watch the engine fit a per-product forecast with the Indian festive lift baked in. Decide if it fits.