Product Strategy

Product Intelligence

Which product is critical, which size is running out, what sells together — all on one page.

Which product runs out of stock within three days? Which size of your best seller is missing? What gets bought together, and which slow movers should go on sale? Six different analyses on a single page, exportable to Excel anytime.

6 Analyses on One Page — Export to Excel

Stock running out, broken sizes, rising products, slow movers, discount band, bought-together pairs. All in tabs on a single page — one click to Excel.

  • Stock Running Out — estimated days until sell-out
  • Broken Size — is a popular size out of stock?
  • Rising Products — sudden sales spike detection
  • Slow Movers — items that haven't sold in a while
  • Discount Band — effective vs. ineffective discounts
  • Bought Together — frequently paired products
Product Strategy · Today
Running Out
23
3-15d ETA
Broken Size
41
Size sold out
Hot Trend
12
Anomaly ↑
Slow Mover
67
>2 mo stock
Today's recommendation: "Sweater X-12" will sell out within 3 days — prioritize it in ads, no active campaign yet.

Bought Together — Cross-Sell Analysis

From your last 90 days of orders: which products get bought together? Statistically reliable suggestions — a ready-made list for PDP badges, bundle campaigns, and email recommendations.

  • Strong product pairs — statistical confidence score
  • Both directions reported separately
  • Thin-data filtering — noise kept out
  • Every pair downloadable to Excel in one click
Frequently Bought Together
Last 90 days · 14,382 orders
PairStrengthA→B rateFrequency
Crepe Dress+Silk Scarf4.2×38%6.4%
High-Waist Trousers+Tie-Front Blouse3.8×42%5.1%
Leather Belt+Belted Trousers3.1×29%3.8%
V-Neck Shirt+Relaxed Midi Skirt2.4×18%2.2%
Strong association: candidate for a "Frequently Bought Together" badge on the product detail page · 2 new pair suggestions.

Product Performance Detail — 30/60/90d

ROAS, sales velocity, days of stock, return rate, and customer segment mix for a single product. Full context for the decision.

  • Last week and last month sales trend
  • Days-of-stock estimate
  • Return rate — broken down by size
  • Which customer segments are buying
Product Performance
Crepe Shawl Collar Dress
30d·60d·90d
ROAS
5.8×
+0.4× vs 60d
Return Rate
4.2%
XL → 12% caution
Which RFM segment bought?
Champions42%
Loyal31%
New18%
Other9%
Last 7d sales: 4.8 units/day · 28 days of stock → low-stock alert in 7 days.

Size Matrix — Broken Size Detection

Stock and sales velocity for every size of a product in one matrix. Is the best-selling size about to run out? Which size never moves? Decision support for production planning.

  • Size × stock × sales velocity matrix (XS-XXL)
  • Broken size alert — when the top seller runs out
  • Idle size detection — no sales in 30 days
  • Production suggestion — how much of each size to make
Size Matrix
Crepe Shawl Collar Dress
2 alerts
XS
18
0.2/day
IDLE
S
67
2.4/day
M
12
5.8/day
CRITICAL
L
89
4.2/day
XL
0
3.1/day
SOLD OUT
XXL
41
0.4/day
IDLE
⚠ Broken Size Warning
M size (5.8/day velocity) has only 2 days of stock. XL sold out — not a best-seller, but pause if you plan to advertise.
Production suggestion: produce M ×80 + XL ×40 (based on the last 30d sales rate).
Highlights

The module at a glance

Stock Running Out — 3/7/15-day alerts
Broken Size — best seller at zero stock
Rising product detection — sudden sales spikes
Frequently bought together
Use Cases

Where does it help in practice?

Case 1

The popular size of your best seller just sold out

Outcome

Broken Size alert + the product exits ads automatically.

Case 2

"The discounted product isn't selling at all"

Outcome

Discount Band idle list — with a suggestion to restore the margin.

Case 3

A "Frequently Bought Together" widget on the product page

Outcome

Reliable, statistically validated recommendations.

Demo

Try the Product Strategy module with your own brand

In a 30-minute demo session, we'll show you how the module works on your own data.