Documentation
App Guide
Every page, every statistic, every button — what it means and how to use it.
Inventory dashboard
Tells you, per product variant (size/color), when to reorder and how many — based on your sales speed, vendor lead times and safety stock.
Days left until you must reorder to avoid selling out: stock ÷ sales speed − vendor lead time − safety buffer. "Today" in red means you're already late. Sort on this column so the most urgent variants are on top.
The same calculation over the comparison period from Settings (default last 7 days). A second opinion with a different window: if both say "Today", be confident; if they differ a lot, check the trending column.
Estimated Out-Of-Delivery: an advanced estimate of days until sold out that handles irregular sales better. Toggle via "Advanced calculation (EOOD)". Use for spiky sellers where a simple average misleads.
Suggested reorder amount: covers expected sales during lead time + buffer period, minus current stock. Grows with your growth-rate setting. The number for your purchase order.
The same suggestion re-weighted to the last 3 days. The acceleration detector: trending far above normal = product taking off, trust the higher number; far below = cooling down, order less.
Current sellable stock, synced from your store. Negative or impossible values signal an inventory admin issue in your store.
The buffer (units) you configured in Settings. Raise it for bestsellers, lower it for slow, wide assortments.
Lifetime units sold. Distinguishes proven items from newcomers when period numbers are small.
Units sold inside the calculation period; the core of sales speed. Short period = current demand, long period = stable average.
Units returned per window. Combine with sold to judge real net demand.
Returned ÷ sold. Above your acceptable level? Reordering more may mean buying future returns — investigate fit and photos first.
Turnover of this variant. Prioritise: a "Today" on a high-revenue variant beats a "Today" on a small one.
Product page views: a demand signal independent of stock. High views + low stock = urgent; high views + low sales = product page problem.
Sales ÷ views. High conversion means the product sells itself when people see it.
Expected days until sold out at the current pace. Sale radar: far beyond season end = plan an early, mild markdown instead of a late, deep one.
Delivery days of this variant's vendor (from Vendor Settings). Explains why equal stock gets different urgency.
Selling price, unit cost and margin (€ and %). Reorder and promote high-margin winners first; cost above price = broken cost data in your store.
Marks period stats built on very few sales/views. Don't act on flagged numbers — widen the period first.
How you use it
Workflow: Do your weekly reorder run
1. Open the Inventory dashboard.
→ The list loads sorted by urgency: variants marked "Today" (red) are on top.
2. Set the Calculation period to your buying cycle — for fast fashion, the last 7–14 days.
3. Click Apply filters.
→ The counters and advice recalculate.
4. For every red row, compare Order Quantity with Order Quantity trending. Trending much higher? The product is accelerating — use the trending number.
5. Tick the checkbox of every variant you want to order.
→ The bulk bar appears: "X variants selected".
6. Click Place in order.
→ After "Processing…", the variants leave the list; your to-do stays clean.
7. Click Export PO.
→ A purchase order PDF per vendor downloads, with the order email and phone from Vendor Settings. Send it to your suppliers — done.
Good to know: ordered variants stay hidden until the PO is closed. See them anytime by ticking "Include products in open PO".
Workflow: Judge a new drop in its first week
1. On the Inventory dashboard, set Product scope to "Created".
2. Set the Calculation period to start on the drop date.
3. Click Apply filters.
→ Only newly created variants remain.
4. Sort by Items sold in period (or conversion).
→ Your early winners are on top.
5. Reorder the winners now — in the first week, your vendor probably still has stock. For the losers, plan new photos or let them run out.
Workflow: Prepare an order day for one vendor
1. Open All filters and pick the vendor under Vendors.
2. Click Apply filters.
→ The list shows only that vendor's variants.
3. Click "Save as preset…", name it (e.g. "Vendor X order day"), click Save preset.
→ "Preset saved". Next time this is one click via Presets.
4. Select what's urgent → Place in order → Export PO.
Workflow: Plan your end-of-season sale
1. Tick "Advanced calculation (EOOD)" and click Apply filters.
2. Add the "Days sold out" column via Columns if it's off.
3. Filter on your seasonal collection and sort Days sold out descending.
→ Items that outlive the season are on top.
4. Everything that sells out far past season end goes on the early-sale list: a mild discount now beats 50–70% off in the final week.
Marketing assistant
Turns your own sales data into ready-made campaign selections — you pick the goal, the app picks the products.
The four categories
Highest proven revenue and sales. Use for evergreen ads, bestseller emails and your homepage.
Conversion above your threshold with meaningful traffic. Use for retargeting: these convert when seen twice.
Sellers with the lowest return share. Use for influencer gifting and content — items customers actually keep.
Strong conversion and healthy stock, but few views. The biggest untapped revenue: proven products nobody sees. Give them traffic (ads, email, homepage) and they pay back immediately.
Controls
Groups
Each category is split into groups by collection or by title keywords (dresses, tops…), configurable in Settings under grouping.
Open
Sends the group to the Marketing dashboard with the selection pre-applied, ready for tagging or export.
Items per category
How many products each block shows (set in Settings).
How you use it
Workflow: Launch a campaign in 15 minutes
1.
Open the Marketing assistant and pick the category that matches this week's goal: revenue → Top sellers, better ROAS → High conversion, gifting/content → Low return rate, untapped revenue → Hidden gems.
2.
Click Open on a group.
→ The Marketing dashboard opens with that selection pre-applied.
3.
Check In stock for every item — don't promote what can't be delivered.
4.
Type a campaign tag in the Tag name field (e.g. "push-week-31") and click Add tag.
→ "Processing…" runs and the tag is written to your store.
5.
In your email/ads tool, build the segment or catalog set on that tag. Your campaign now contains only proven, in-stock products.
Marketing dashboard
The working list behind the assistant — every variant that deserves marketing money, with the numbers to prove it.
Sales ÷ views per window. Sort descending to find your best converters; combine with low views to find hidden gems.
Product page traffic. Sort descending and scan conversion: high views with low conversion is your most expensive product-page problem — fix the photo, price or size info.
Current stock. Never promote what you can't deliver; check before every campaign.
Lifetime and period units: proof of demand at two horizons.
Returned units.
Returns share per window. Advertising a 60% returner loses money on every sale. A big period-vs-lifetime gap means something changed recently (batch, photo, audience) — investigate before promoting.
Turnover per variant. Rank campaign candidates by money, not units.
Margin in € and %. Two campaigns with equal revenue can differ 2× in profit — prefer high-margin selections.
How you use it
Workflow: Push any selection to your email and ads tools
1. Filter or search until the list shows what you want to promote.
2. Tick the products (or the header checkbox for all).
→ The bulk bar appears with Add tag on the right.
3. Enter the tag, click Add tag, wait for "Processing…" to finish.
4. In Shopify: create a smart collection with condition "product tag equals …" — it fills itself, now and every next time you reuse the tag.
Workflow: Find and fix your traffic leaks
1. Sort Views in period descending.
→ Your most-seen products are on top.
2. Scan the conversion column for outliers far below your store average.
3. Those pages get traffic but don't sell: fix the first photo, price or size info — or route the traffic to a converting alternative.
4. Re-check after two weeks with the same sort; conversion should move.
Sales dashboard
The owner's daily pulse — 11 KPIs, always with a comparison to the previous period.
KPIs
Net revenue
Turnover after discounts and refunds: your real top line.
Gross revenue
Turnover before discounts and refunds. The gap with net shows your discount and return pressure.
Gross margin
Revenue minus product costs. Watch it during sales: did the promo eat your margin?
Average order value (AOV)
Revenue ÷ orders: the upsell and bundle dial.
Total customers
Buyers in the period.
New customers
First-time buyers: your acquisition check.
Returning customers
Repeat buyers: your retention check and cheapest revenue.
Orders per customer
Orders ÷ customers: loyalty signal.
Orders
Order count.
Items sold
Units sold.
Items per purchase
Units ÷ orders. Rising means your outfit and cross-sell marketing works.
Controls
Period picker
Presets (Today, Last 7 days, etc.) and custom ranges, with an automatic "compared to" period.
The routine
Today vs yesterday every morning; Last 7 days on Monday; a custom range over the campaign days after each campaign.
How you use it
Workflow: The morning check (2 minutes)
1. Open the Sales dashboard; set the period to Today.
→ Every KPI shows today vs yesterday.
2. Scan Net revenue, Orders and AOV first; the arrows tell you if something needs attention.
3. On Mondays, switch to Last 7 days for the week view.
Workflow: Evaluate a campaign
1. Set a custom range covering exactly the campaign days.
→ The comparison period aligns automatically.
2. Read three things: Net revenue (did it sell?), Gross margin (did the discount eat the profit?), New customers (did it bring new people?).
Dead stock
Ranks variants by frozen capital so you can free up cash before the end-of-season panic sale.
Statistics
Stock × unit cost of items that didn't sell in the look-back window. Sort descending: the top 20 usually holds about 80% of your frozen money.
Units stuck.
Composite severity score of stock versus sales pace: higher = deader.
Context columns. An item with 1 sale and 80 in stock is deader than one with 1 sale and 4 in stock.
Cost above price means broken cost data polluting the ranking — fix it in your store.
Controls & routine
Look-back period
Set 60–90 days; a very short window makes everything look dead.
The monthly routine
Take the top 20 by dead capital and give every item one route: bundle with a bestseller, add to the sale, return to the vendor, or move it to your physical store. Re-check next month whether the top 20 shrank.
How you use it
Workflow: Free up cash — the monthly routine
1. Open Dead stock and set the look-back to 60–90 days.
→ The list re-ranks; with a short window everything looks dead, so don't skip this.
2. Sort Dead capital descending.
→ The top 20 is typically ~80% of your frozen money.
3. Check Average unit cost vs Average price — cost above price means broken data: fix it in your store first.
4. Give every top-20 item one route: bundle with a bestseller, into the sale, back to the vendor, or to your physical store.
5. Next month: same list, same sort. The top 20 should be smaller.
Recommendations
Quick top-lists for daily decisions.
Top products / variants
"What do I post today?" — your social and email content list.
Top categories
Assortment direction: which categories earn their space.
Discount codes (manual + automatic)
Which promos are actually used.
Top cities / countries
Local targeting, pop-up and event locations, international potential.
Vendor Settings
Per-vendor facts that drive every reorder calculation and purchase order.
Lead time (days)
The delivery time of this vendor. The single most impactful setting: it decides when every variant of this vendor must be ordered. Fill your top vendors first. Rule of thumb: pronto moda 4–7 days, regular brands 14+.
Order email / Order phone
Contact details printed on exported purchase orders. Fill once, every PO is send-ready.
Calculated
Reserved for the measured, actual lead time.
Update vendors
Saves your changes and pulls newly added vendors from your store. Run it after onboarding a new supplier.
How you use it
Workflow: Set up your vendors (do this once, first)
1.
Open Vendor Settings.
→ You see every vendor with a Lead time field.
2.
Start with the vendors you order from most; type their real delivery time in days (pronto moda 4–7, regular brands 14+).
3.
Fill Order email (and phone) — these are printed on every exported PO.
4.
Click Update vendors.
→ Toast "Vendors synced". Every reorder advice now uses the right lead times.
Settings
The thresholds behind every calculation.
Create fixed periods like "Summer 2026" once; select them on every page for year-over-year comparisons and pre-season buying.
The buffer in every days-to-order calculation. Higher = safer but more capital tied up.
Scales order quantities up. Growing 20%? Set it — otherwise you keep buying for last year's demand.
The window behind "Days to order (compare to)". Keep it short (7 days) as an early-warning signal.
Return rate ≤ X, minimum sold, minimum views: defines your proven winners.
Minimum stock, sold and views, acceptable return and conversion rate: defines which products earn ad money. Stricter = safer but fewer candidates.
Group campaigns by title keywords or by collections; set how many items each block shows.
Generates a personal token so you can ask an AI assistant questions about your own data, like "what should I reorder this week?". Treat the token like a password.
How you use it
Workflow: First-time setup in 10 minutes
Seasons: add your buying seasons (from/until/name) — you'll use them on every page for year-over-year buying.
Safety stock: start with 2 units; raise it later if bestsellers still sell out.
Growth rate: growing 20% this year? Enter 20 — otherwise you keep buying for last year's demand.
Super Products and Marketing thresholds: start with the defaults, tighten after your first weeks — stricter thresholds = fewer but safer candidates.
How ordering works
1
Select variants on the Inventory dashboard.
2
Place in order — variants get "in open PO" status and leave the default list, so your to-do stays clean. The quantity is the calculated Order Quantity.
3
Export PO — creates the purchase-order record and downloads a PDF per vendor with contact details.
4
Use "Include products in open PO" to see what's on order; badges mark items in a PO.
Reading the numbers right
The period decides the advice
The same item can get reorder advice 70 on a 7-day window and 20 on a 30-day window. Short windows react to now; long windows show the stable average. Pick the window that matches the decision.
Low-sample flag
Not enough data for a reliable number; widen the period before acting.
Period vs lifetime gaps
Early warnings: a return-rate or conversion break means something changed recently — investigate what.
Strange values
Impossible numbers (like negative stock) point to a data issue in your store, not a calculation error.
Can't find your answer?
support@fashion-analytics.com