Fashion & Apparel Analytics

Stop losing money to

scattered data

Fashion Returns Are Eating Your Profit. See the Real Numbers.

Analify shows fashion brands their true profit after returns, size exchanges, seasonal markdowns, and ad spend -- per SKU, per campaign, per collection.

Analify Dashboard

Real metrics, real time — no more spreadsheet guessing

LIVE

Decision signals

What is working now

live

Collection Profit

EGP 94,200

Return Rate

28.3%

Best SKU

Linen Dress M

Worst SKU

Black Tee XL

Month health

EGP 94,200

Summer '26

growing strong

+47 this month

Return Rate28.3%

Best SKULinen Dress M

Worst SKUBlack Tee XL

Powering profit tracking for top brands

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Fashion Ecommerce Has Hidden Profit Killers

Returns, seasonal markdowns, and ad spend on low-margin products eat your margin silently.

Size-Related Returns Destroy Margin

In fashion, 30-40% of returns are size-related. Each return costs you shipping both ways, COD fees, and restocking time. One wrong size chart can wipe out a product line's profit.

Seasonal Inventory Blindness

You ordered 5,000 units for summer. How many sold at full price vs markdown? What was the real margin after discounts? Fashion brands need per-collection profitability, not just total revenue.

Ad Spend on Low-Margin Products

You advertise your full catalog but some products lose money after returns and shipping. Without per-SKU profit data, you promote items that generate revenue but destroy margin.

Why Current Tools Can't Show Fashion Profit

Every tool misses the fashion-specific cost factors.

Shopify Analytics — No return cost attribution; cannot calculate per-SKU profit after exchanges.

Fashion ERPs — Inventory-focused; no ad spend integration or real-time profit view.

Facebook Ads Manager — Revenue ROAS does not account for fashion's high return rates.

Manual tracking — Impossible at scale with hundreds of SKUs and size variants.

The Analify Moat

How We Compare

Why general platforms and spreadsheets fall short for Egyptian DTC operators.

Capability	Shopify	Meta Ads	Spreadsheets	Analify
True profit after every cost
Cross-platform ad attribution
COD & RTO tracking
AI alerts before problems cost you
Arabic + RTL, built for MENA

How Analify Solves Fashion Ecommerce Analytics

Per-SKU profit, return intelligence, and collection-level P&L.

Per-SKU Profit After Returns

Every SKU shows true profit: revenue minus ad cost, shipping, returns, and COD fees. Identify your real winners and cut your hidden losers.

Size & Return Intelligence

AI identifies which sizes, colors, and products have abnormal return rates. Get specific recommendations: update this size chart, add this measurement photo.

Collection-Level Profitability

Track profit per collection or season. Know instantly when a collection is underperforming and needs markdown or ad budget reallocation.

See It In Action

Real metrics, real time — no more spreadsheet guessing

Analify Dashboard

Real metrics, real time — no more spreadsheet guessing

LIVE

Decision signals

What is working now

live

Collection Profit

EGP 94,200

Return Rate

28.3%

Best SKU

Linen Dress M

Worst SKU

Black Tee XL

Month health

EGP 94,200

Summer '26

growing strong

+47 this month

Return Rate28.3%

Best SKULinen Dress M

Worst SKUBlack Tee XL

AI Insight Example

Analify doesn't just show data — it tells you what to do

AI Analyst Recommendation

“Your 'Summer Linen' collection has a 22% net margin, but the 'Streetwear Basics' collection is at -3% after returns. The Black Tee XL has a 41% return rate -- 89% of returns cite sizing. Updating the size chart could save EGP 8,000/month.”

Based on 4,200 orders across 12 active collections over the last 30 days.

Before vs After Analify for Fashion Brands

Before Analify

Guessing which products are profitable after returns
Advertising the full catalog blindly
Size-related returns as an unsolved mystery
No per-collection profit visibility

After Analify

Per-SKU profit data including return costs
Ad spend focused on truly profitable products
AI identifies size chart and listing improvements
Collection-level P&L updated in real time

Powering profit tracking for top brands

Ecommerce brands

EGP B+

Revenue tracked

M+

Orders analyzed

Uptime

Common Questions

Everything ecommerce founders ask about fashion ecommerce analytics

Yes. Returns are broken down by SKU, size, color, and reason. You see exactly which variants cause losses.

Yes. Tag products by collection, and Analify calculates profit at the collection level including all associated ad spend and returns.

Exchanges are tracked separately from full returns. The system distinguishes between a size swap (where you keep the sale) and a return (where you lose it).

Yes. Actual selling price is used in profit calculations, not list price. Markdown impact on margin is visible per product and per campaign.

Yes. Analify integrates with all major ecommerce platforms used by fashion brands in the MENA region.

Stop Losing Money on Every Return

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