🧵At a glance: Ethnic and occasion wear is the hardest apparel category to plan. Demand lands inside a few festive and wedding weeks. A sherwani or a saree sells one or two units per store per month. Misread one season and the stock sits for years. Increff plans the category at style, size and store level. Across ethnic, formal and casual brands, that has meant lower days of cover, better availability on top sellers, stuck stock moved to the stores that sell it and less markdown at the same sell-through.
What Increff Finds in an Ethnic or Formal Wear Business
Before any implementation, Increff runs a diagnostic on the brand's own sales and stock data. The following studies show what goes wrong when planning is done at too high a level and what changes when decisions move to style, size, and store.
Problem: 587 days of cover and yet 63% stockouts
Increff analysed sales and stock data for a premium ethnic menswear brand. The diagnostic covered 4,734 live styles across 126 like-for-like stores and found years of occasion stock sitting while fast sellers ran out.
Insights by Increff
- Over-buying was concentrated in occasion categories. Days of cover ran to 2,282 on sherwani, 2,867 on suits and 4,820 on chudidar, which is years of stock, not seasons.
- Availability was not a supply problem. The brand owned the stock. It was in the wrong store, or stranded in a size nobody there buys.
- Each failure feeds the other. Cash tied up in dead occasion stock is cash the brand cannot use to reorder the kurta sets that are selling.
Increff sized a six-month recovery plan worth ₹15 to 22 Cr in revenue lift, ₹22 to 29 Cr in working capital release, and 200 to 400 *bps of gross margin improvement.
*bps = basis points. One basis point is 0.01%, so 100 bps = 1 percentage point
Problem: ₹8.54 Cr lost in 11.5% of styles
A formal menswear brand wanted to know what its stockouts were actually costing. Increff analysed 214 company-owned stores over seven months of trading, across two seasons, and traced most of the loss to a handful of fits and sub-lines.
Insights by Increff
- A monthly opportunity-loss report that identifies stocked-out styles for reorder, so the loss is caught in-season rather than at season review.
- Seasonal NOOS (never out of stock) recommendations handed to the buying and merchandising team, and built into range planning and reordering.
- Better store exposure for high sell-through styles that were not getting shelf space.
With Increff the brand reached an Inventory Health of 82% on a maintained 100% Fill Rate on top categories
What Changed With Increff
How an ethnic and lifestyle brand raised style availability from 45% to 87%
An omnichannel ethnic and lifestyle brand, part of a large Indian fashion group, implemented Increff allocation, replenishment and inter-store transfer (IST)
The challenge
- Only 45% of styles with active sales were available in stores, so demand was being turned away on products the brand was already selling.
- Top-selling styles were not consistently reaching the stores that could sell them, capping sell-through.
- Allocation was manual, which limited both decision speed and accuracy as the store network grew.
What Increff did
- Allocated styles on store-level performance and demand signals, so high-performing stores consistently received top sellers.
- Automated replenishment read sell-through at style, size and store level and raised dispatch suggestions continuously, instead of on a periodic review.
- IST recommendations moved stock out of low rate of sale (ROS) stores into same or high ROS stores, with no new buying.
Results
How a saree retailer cut replenishment planning from a full day to 30 minutes?
A multi-store saree retailer was planning replenishment in Excel. As the store count grew, a single replenishment cycle took a full working day and carried a high margin of error.
Increff defined master data to the brand's own structure, moved replenishment decisions to cluster level, and opened demand analysis across seven attribute levels.
How a women's ethnic wear e-commerce brand cut fulfillment turnaround by 40%?
Planning is only half the category problem. Ethnic wear sells heavily online, where a festive order that ships late is a cancellation. A leading women's ethnic wear brand ran Increff WMS and OMS across its e-commerce operation.
Why Increff for Ethnic and Occasion Wear
- Occasion styles sell in ones and twos per store, so Increff plans at store, style and size level instead of smoothing a national average across the network. National averages are what strand sizes in stores that will never sell them.
- Festive and wedding demand arrives inside a few weeks. Replenishment runs continuously, so a style that starts moving gets restocked while the window is still open.
- Most of these brands already own the stock they are short of. Transfer recommendations move it, which matters when reorder lead times run long.
- Sherwanis, suits and occasion sarees carry high MRP, so every markdown point is expensive. Discount depth set from actual sell-through beats a blanket percentage.
- Ethnic ranges multiply fast across colour, fabric and work. Increff shows which styles earn their place and which are simply being carried.
- Brands running ethnic alongside formal and casual lines plan all of it on one system.
Frequently Asked Questions
What is ethnic wear inventory management?
Ethnic wear inventory management is the planning of stock for ethnic, festive and occasion apparel at style, size and store level. It differs from everyday apparel because demand concentrates in short festive and wedding windows, each store sells only a few units of a style, and unsold occasion stock can take years to clear. Decisions have to be made per store rather than nationally.
Why does ethnic and occasion wear end up with so much dead stock?
Because buying commitments are made months before a short selling window, and once the occasion passes, demand does not return for a year. One diagnostic on a premium ethnic menswear brand found days of cover running to 2,282 on sherwani and 4,820 on chudidar, with ₹18.6 Cr of MRP value unsold for more than 180 days. The fix is cutting open-to-buy on declining categories and clearing aged stock before the next buy lands.
How can a brand be overstocked and out of stock at the same time?
It happens constantly in occasion wear, and the cause is distribution rather than supply. In one diagnostic, 63% of the SKU and store combinations that had sold in the previous 30 days were out of stock on the snapshot date, while the brand held 587 days of total cover. The stock existed. It was in the wrong store or the wrong size.
What is an inter-store transfer, and when should a retailer use one?
An inter-store transfer (IST) moves stock from a store where it has stopped selling to a store where it is in demand, without any new purchase. It is worth running when availability on bestsellers is low while total inventory is high. One ethnic brand saw 87% of transferred stock move from low rate of sale stores to same or higher rate of sale stores, and sales on transferred styles rose 178% in the two weeks after.
How is automated replenishment different from manual replenishment?
Manual replenishment runs on a review cycle, so a store waits for the next review before a sold unit is replaced. Automated replenishment reads sell-through continuously at size and store level and raises dispatch suggestions as demand appears. One ethnic brand moved from replacing 36% of what it sold to around 85%, and availability on styles with sales rose from 45% to 87%.
How can retailers reduce discounting without losing sales?
By setting discount depth from each style's actual sell-through and rate of sale rather than applying a blanket percentage across a category. One menswear brand halved markdown from 18% to 9.1% while holding sell-through at 90% by value and lifting gross margin around 4pp. Deeper discounts on fewer styles beat shallow discounts on everything.
We already run an ERP. Why add a merchandising system?
An ERP records what stock exists and where it sits. It does not decide which size of which kurta set belongs in which store this week, or when to cut the buy on a declining occasion category. That decision layer is where the results on this page come from, which is why brands with mature ERP stacks still find tens of crores of working capital and double-digit availability gaps.
Want to see these numbers on your own inventory this festive season? Book a demo and Increff will run the same analysis on your stores, your sizes and your sell-through