Inventory Planner
Forecast your inventory needs, track stock levels across warehouses, set replenishment targets, and prevent stockouts, all from a single view.
Open this page in your dashboard: Go to Inventory Planner →
📋 Overview
The Inventory Planner page helps you stay ahead of stockouts and overstocking. It combines real-time stock levels, sales velocity calculations, and demand forecasting to tell you exactly how much inventory to send, and when. Whether you sell via FBA or FBM, across one marketplace or ten, this tool keeps your supply chain healthy.
Why this matters: Stockouts cost more than just lost sales. Amazon penalizes your organic ranking, your PPC spend is wasted, and competitors capture your Buy Box. A single week out of stock on a top seller can take 2-4 weeks of recovery to regain your previous ranking position.
📊 Stock Health Summary
A single summary card sits above the table (the old six separate KPI cards are gone). It reflects the products in your current view - the active filters - and it splits into three zones:
1. The "Units to Send · N days" hero (clickable). The headline number is the total units to send across the view, sized to your replenish window (the "· N days" mirrors the Replenish for window). Underneath sits a one-line verdict:
"{n} products to replenish" when something needs shipping, or
"Nothing to send - covered for the next {n} days" when the whole view is covered.
Click the hero to filter the table to rows with Units to Send greater than 0.
2. The Stock health zone (clickable). A segmented health bar plus a row of status chips - one chip per status actually present in the view (Out of Stock, Critical, Low Stock, Overstocked, Dead stock, Slow mover, No Sales, New listing, Healthy). Click any chip or bar segment to filter the table to that status. A small count next to "Stock health" shows how many products the bar covers.
3. The quiet Inbound / Reserved zone. Two low-emphasis totals - Inbound (units en route to Amazon) and Reserved (units held by Amazon) - summed across the view. These are context only; they are not clickable filters.
Quick win: If the verdict reads "{n} products to replenish", click the Units to Send hero to filter the table to exactly those rows, then sort by "Days left" ascending to prioritize the most urgent items.
Why this matters: The summary turns the whole card into a one-click triage shortcut. See "12 products to replenish"? Click the hero and you are looking at precisely those SKUs; click a status chip and you jump straight to, say, everything that is Critical, no manual sorting or searching required. Only one summary filter is active at a time, and it stacks on top of the regular filters (Marketplace, Fulfillment, etc.).
Inventory Table
For your first week: Focus on just 4 columns : Stock, Ø/day (daily sales average), Days left, and Status. These tell you what needs restocking now. The remaining columns become useful as you scale.
An interactive table with full sorting, search, and pagination. Each column header carries a "?" tooltip explaining exactly what it measures. Not every column is shown out of the box - the ones marked "default off" below are added from the Columns menu (see Saved Default View):
Product
Product name, image, SKU (Stock Keeping Unit), ASIN (Amazon Standard Identification Number), FNSKU. Also carries the marketplace flag, listing-status badge, and the condition chip when relevant
Status
Color-coded badge (see below)
Stock
Units currently sellable in Amazon warehouses
Inbound
Units in transit to Amazon (shipped but not yet received)
Reserved
Units reserved by Amazon for pending orders, processing, or FC transfers
Ø/day
Average units sold per day (based on the lookback period)
Sold ({days}d)
Real units actually sold in the selected lookback window - the raw count behind Ø/day, so you can double-check the forecast against actual sales
Days left
Estimated days of cover until current stock runs out
OOS date
Projected out-of-stock date
Level
Segmented stock bar showing inventory composition (see below)
To send ({days}d)
Recommended replenishment quantity for the replenish window
Forecast (default off)
Projected units you will sell during the replenish window (velocity x target days)
Marketplace (default off)
The Amazon marketplace this stock belongs to
Condition (default off)
Listing condition (New, Used, Refurbished, or Mixed where a grouped row spans conditions)
Fulfillment (default off)
FBA or FBM
Status Badges
Nine color-coded statuses can appear in the Status column (and as chips in the summary card):
Critical
Stock will run out within days (under ~7d cover)
Low Stock
Stock below target, reorder soon
Healthy
Stock within target range
Overstocked
More stock than needed for the target period
No Sales
Product has no recent sales in the lookback window
Out of Stock
Zero units available
Dead stock
Sitting in the warehouse with no sales for a long stretch
Slow mover
Has stock but very low / sporadic recent sales
New listing
Too little sales history yet for a reliable forecast
Stock Bar Visualization
Each product row includes a segmented bar (the Level column) showing:
Green: In-stock (current available) units
Blue: Inbound units
Purple: Reserved units
Orange: To send (replenishment needed)
Listing-status and freshness cues
The product cell surfaces a few at-a-glance signals so you never have to leave the table:
Listing-status badge - a yellow/red badge marks a listing that is Inactive, Incomplete, or Expired on Amazon. Such a listing can still hold stock, so it stays visible unless you filter it out (see Listing-status filter).
Marketplace flag - the country flag for the marketplace the row belongs to.
Condition chip - New, Used - Like New, Refurbished, and so on, or Mixed when a grouped row spans conditions.
"Add product cost →" - a deep-link shown when a product has no cost (COGS) on file yet, so the money figures in the forecast can be filled in.
"Synced" chip - a freshness stamp in the toolbar showing how long ago the planner's stock data was last updated from Amazon.
Row Actions (⋮ menu)
Every row ends with a ⋮ (More actions) menu that jumps you straight to the relevant place:
Stock Forecast
Opens the per-product forecast modal (see below)
Open on Amazon
Opens the public product page on Amazon
Edit listing (Seller Central)
Jumps to the listing in Amazon Seller Central
Manage inventory (Seller Central)
Jumps to Manage Inventory in Amazon Seller Central
Bulk selection
Each row has a checkbox, and a select-all control in the header ticks every product in the filtered set (not just the current page). Once anything is checked, a floating "{n} selected" bar appears with:
Export CSV - export just the selected rows (a shortlist for your supplier), and
Clear - deselect everything.
Quick win: Filter to "Need attention", tick the products you actually intend to reorder this week, then Export CSV to send your supplier a clean shortlist instead of the whole catalog.
👣 Step-by-Step Example: Calculating a Reorder
Here is a realistic scenario showing how SellerMagnet calculates reorder recommendations:
Scenario: You sell a garlic press (ASIN: B09EXAMPLE1) on Amazon.de. Your supplier is based in Shenzhen, China.
SellerMagnet's calculation:
Expected Sales during target period: 8 units/day x 42 days = 336 units
Current Stock + Inbound: 120 + 0 = 120 units
Units to Send: 336 - 120 = 216 units
Days Left at current rate: 120 / 8 = 15 days (Status: Critical)
Expected OOS Date: 15 days from today
Current Stock
120 units
Inbound
0 units
Daily Sales Avg (30-day lookback)
8 units/day
Supplier Lead Time
21 days (production)
Shipping to Amazon FBA
14 days (sea freight + customs)
Safety Buffer
7 days
Total Target Days
42 days
Action required: In this example, you have only 15 days of stock but your total replenishment cycle is 42 days. You need to place an emergency order immediately, or consider air freight to bridge the gap.
Reorder Calculation Template
Use this template to configure your Target Days slider for each product category:
Supplier Production Time
___ days
Time from PO to goods ready
Shipping to Amazon
___ days
Transit + customs + FBA check-in
Safety Buffer
___ days
Extra cushion (7-14 days recommended)
Total Target Days
___ days
Set your slider to this value
🔍 Filters
The toolbar keeps the everyday controls in reach - Search, the View chips, the Replenish for window, Columns, Export, and Refresh - and tucks the detail filters behind a Filters button. Click Filters to open the drawer with Marketplace, Sales lookback, Fulfillment, Condition, and Listing-status controls. When any of those is set to something other than its default, the Filters button shows a small dot so you can tell filters are active even while the drawer is closed.
Marketplace
All Marketplaces, EFN (Pan-EU), or a specific marketplace
All
Sales lookback
7, 14, 30, 60, 90, 180, 365 days (for velocity calculation)
30 days
Fulfillment
FBA, FBM
All
Condition
New, Used - Like New, Used - Very Good, Used - Good, Refurbished
All
Listings
All, or Active only (see below)
All
View
All, Need attention, Fully stocked, Slow movers, Revival (see below)
All
Replenish for (chips)
14, 30, 60, 90 days, or Custom (1-365)
30 days
Hide 0 to send
Toggle chip - hides rows where Units to Send is 0
Off
Listing-status filter (All vs Active only)
A listing that has gone Inactive, Incomplete, or Expired on Amazon can still hold stock, so by default the tool shows All listings, that way suppressed listings sitting on inventory stay visible (they carry a yellow/red badge in the product cell).
All - show every listing, including Inactive / Incomplete / Expired ones.
Active only - hide suppressed / incomplete / expired listings and show just the ones currently live on Amazon.
Why this matters: Stock trapped on a suppressed listing is easy to forget. Leave the filter on All when you audit for stranded inventory; switch to Active only when you just want a clean picture of your sellable catalog.
View quick-filter chips
A row of View chips slices the table by replenishment urgency in one click. Each chip carries a live count:
All
Every product in the current view
Need attention
Rows that need a look - Units to Send greater than 0, out of stock, overstocked, idle stock (no sales / slow / dead), or an inactive listing
Fully stocked
Healthy and overstocked rows
Slow movers
Has stock but 0 sales in the lookback window - dead inventory
Revival
Dormant listings that used to sell but have had no sales for 60+ days - candidates to stock and sell again (see below)
Quick win: Click Slow movers every few weeks to surface dead stock, units sitting in the warehouse with no recent sales, before they rack up long-term storage fees.
Revival view
The Revival chip opens a dedicated view of products with no sales for 60+ days that used to sell - listings worth reconsidering for a restock. Rows are ranked by how fast the product sold while it was still buyable, so a strong past seller floats to the top even if it went quiet.
Because the restock decision here hinges on different signals, Revival swaps in its own filter row (not the normal Filters drawer) with just the axes that matter:
Marketplace - built from the candidate set (flags + counts); hidden when there is only one.
Condition - built from the candidate set; hidden when there is only one condition.
Listing - All / Active / Inactive - Expired.
Last sold - All / ≤ 6 mo / ≤ 12 mo.
It also brings its own columns:
Last sold
When this listing last sold a unit (fresher is better)
Active span
Days between the first and last sale of the anchored window, and how many of those days actually had sales
Sold (active span)
Units sold in the 90 days before the last sale - the demand that existed while the product was still buyable
Ø/day (active)
Units sold divided by the active span (a warning icon flags sales concentrated in only a few days)
Potential/mo
Estimated units per month if restocked, at the active-span rate (treat it as an upper bound - demand decays with time off the shelf)
Pro tip: Use a 7-day lookback during fast-moving periods (Prime Day, Black Friday) to capture spikes. Switch back to 30 days during normal periods for a more stable average.
Choosing the Right Lookback Period
7 days
Capturing recent trends, during promotions
Overreaction to one-off spikes
14 days
Balanced short-term view
May still reflect temporary promotions
30 days
Stable average, most sellers' default
May lag behind seasonal shifts
60 days
Smoothing out mid-term seasonality
Slower to react to a genuine trend change
90 days
Long-term trending, slow-moving inventory
Ignores recent sales velocity changes
180 / 365 days
Very slow movers and yearly seasonal SKUs
Heavily dampens any recent change in demand
EFN (Pan-European) Mode
If you use Amazon's European Fulfillment Network (EFN), the tool automatically aggregates inventory for the same ASIN across EU marketplaces (DE, FR, IT, ES, NL, SE, PL, BE). Stock levels use the maximum values (shared pool), while sales velocity is summed across all participating marketplaces.
EFN (European Fulfillment Network) mode ensures your forecasting accounts for the shared inventory pool, preventing duplicate reorder recommendations.
Pan-European sellers: If you recently switched from EFN to Pan-EU (where Amazon distributes stock across multiple country warehouses), your inventory data will shift. Allow 2-3 days for SellerMagnet to recalibrate stock positions after a fulfillment network change.
"Group by" control (SKU / Listing / Marketplace)
When you sell on more than one marketplace, a Group by control appears in the toolbar. It decides how the same product spread across countries is rolled up into table rows:
SKU
One row per origin SKU (aggregated across marketplaces)
Pan-EU / EFN sellers who manage a shared pool
Listing
One row per (SKU, marketplace) listing
Reviewing each country's listing individually
Marketplace
Raw rows, one per marketplace, no grouping
Seeing untouched per-marketplace stock and sales
Per-Product Forecast Chart
Open the Stock Forecast from a row's ⋮ Actions menu to view a detailed stock forecast for that individual product:
Historical stock levels
Projected depletion timeline
Recommended reorder point
Expected out-of-stock date
The decision band
Instead of four separate KPI cards, the top of the modal now reads as one decision, stated as a single sentence:
"Order {qty} units by {date}" - place this order by this date to land before you run dry, or
"Order {qty} units as soon as possible" - you are already late, order now, or
"No order needed yet - reorder point {date}" - current stock still covers the lead time; the date is when to revisit, or
"Not enough sales to recommend an order" - too little history to size a reorder.
Next to the sentence sit the Lead time and Safety day inputs. Both feed the recommendation, so adjusting them re-sizes the order and moves the reorder date immediately.
The two quiet stat cards
Below the decision, two low-emphasis stat cards turn the forecast into a money decision:
Cost of next batch
The recommended order quantity multiplied by your unit COGS (Cost of Goods Sold), i.e. what that batch will cost from your supplier
Lost revenue at OOS
Projected revenue you would lose if the SKU goes out of stock - the demand during the stock-out gap multiplied by the unit price
Why it matters: The decision band tells you what to order and by when in one line, and the two stat cards show the cash the next purchase order ties up and the revenue you stand to lose by not placing it, side by side.
"What-if" reorder simulator
Below the forecast chart is a what-if slider that lets you preview the impact of a reorder before you place it. Drag the slider to a quantity (it starts anchored at the recommended order quantity) and the chart draws a separate "Simulated (your order)" series on top of the existing forecast line.
The simulated order is assumed to arrive after your configured lead time - so the bump in the line appears on the day the shipment would land, not today.
From its arrival day, the simulated stock depletes at the product's daily sales velocity, just like real inventory.
This lets you see at a glance how a given order size pushes out your projected stock line and your out-of-stock date.
Why it matters: Before committing to a purchase order, slide the quantity up or down to find the smallest order that still clears your out-of-stock gap. Order too little and the line still dips to zero; order too much and you can see the overstock building on the tail of the curve.
Exporting the forecast series
The per-product forecast modal has its own Export menu so you can pull that single SKU's projected curve out as a spreadsheet. Choose CSV or Excel (.xlsx), the file is named after the product's SKU and contains the day-by-day series:
date
Each day in the forecast horizon
projected_stock
Projected units remaining on that date
recommended_order_date
Your recommended reorder date (on the first row)
projected_oos_date
The expected out-of-stock date (on the first row)
Why it matters: Export a specific SKU's depletion curve to drop straight into a supplier PO discussion or a reorder spreadsheet, without exporting the whole catalog.
Actions
Search
Filter by product name, SKU, ASIN, or FNSKU
Filters
Open the drawer with Marketplace, Sales lookback, Fulfillment, Condition, and Listing-status controls (a dot flags active filters)
Columns
Show/hide columns to customize your view, remembered as your default; also sets the separate print layout (see below)
Export
Download the table as CSV or Excel; the bulk bar exports selected rows only, and the per-product chart exports its forecast series
Print-optimized view using its own saved column layout (UI elements removed)
Refresh
Manual data reload
Saved Default View
The Columns menu lets you tailor which columns appear, and SellerMagnet remembers your choice as your default view so you don't have to reconfigure it on every visit.
Open the Columns menu and tick or untick columns, or use a Quick view preset: Default (the standard column set) or Print-friendly (just Product, To send, and Days left on screen for a clean warehouse pick-list).
A footer in the menu confirms the contract: "Saved as your default view."
Your column choice persists across sessions and across devices, it is saved to your account (per user), not just to one browser, so signing in on another machine inherits the same layout.
Why it matters: Set a lean column view once, e.g. Product, To send, Days left for warehouse pick-lists, and save a separate print layout so your printouts stay clean no matter how many columns you add on screen.
🔄 Before & After: Impact of Using Inventory Management
Stockout frequency
3-5 products/month
0-1 products/month
Overstock (excess units)
40% of catalog
Under 10% of catalog
Manual spreadsheet time
4-6 hours/week
0 hours (automated)
Revenue lost to stockouts
~8-12% monthly
Under 2% monthly
Storage fee waste
High (overstocked SKUs)
Minimal
ROI example: A seller doing EUR 50,000/month who reduces stockout-related revenue loss from 10% to 2% recovers EUR 4,000/month, that is EUR 48,000/year in revenue that would have otherwise been lost.
Seasonal & Timing Advice
Q4 preparation (September-October): Increase your Target Days slider by 50-100% starting in September. Supplier lead times stretch during peak season, and Amazon's FBA receiving windows become slower. If your normal target is 45 days, consider setting it to 70-90 days for Q4 SKUs.
## 🔧 Troubleshooting
Why is my inventory not syncing?
Check your Amazon SP-API (Selling Partner API) connection. Navigate to Settings > Connections and verify your Amazon marketplace shows a green "Connected" status.
Verify the correct marketplace is selected. If you are filtering by Amazon.de but your inventory is on Amazon.com, you will see no data.
Allow time after initial setup. First-time syncs can take 15-60 minutes depending on catalog size. Check the "Synced" freshness chip in the toolbar for how long ago the data was last updated from Amazon.
Check Amazon Seller Central. If Seller Central itself is showing delayed data (common during peak periods), SellerMagnet will reflect the same delays.
Why does "Units to Send" show zero for a product I know needs restocking?
Your inbound shipments may already cover the expected demand. Check the "Inbound" column.
The "Hide 0 to send" filter may be off but the lookback period might show low sales. Try switching from 30 to 14 days.
The product might have zero sales in the lookback period, resulting in a "No Sales" status.
Why is my Daily Sales Avg different from what I see in Seller Central?
SellerMagnet calculates the average using the lookback period you selected. Seller Central may use a different time window. Additionally, SellerMagnet excludes days when you were completely out of stock from the velocity calculation (to avoid deflating the average).
My forecast chart shows a sudden drop: what happened?
A sudden drop usually indicates either: (a) a bulk order or promotion that spiked sales, (b) a shipment that was received and then quickly sold, or (c) an inventory adjustment by Amazon (removed or transferred units). Check your Reimbursements page for any lost/damaged inventory events around that date.
❓ FAQ
💡 Tips
Pro tip: Set your Target Days slider to match your supplier lead time + shipping time. For example, if your supplier needs 15 days to produce and 10 days to ship to Amazon, set the target to 30-40 days (with buffer).
Filters are saved between sessions via local storage, so your preferred view persists when you return.
Pro tip: Export your inventory report every Monday morning and compare it to the previous week. Look for any product that shifted from "Healthy" to "Low", those are your priority reorders for the week.
Pro tip: If you run Lightning Deals or Coupons, temporarily reduce your lookback to 7 days for the week after the promotion ends. This helps you see whether the elevated sales velocity is sustainable or a one-time spike.
➡️ What's Next?
Fee AuditReimbursements (Lost & Found)Last updated