For multi-brand sellers with seasonal products

Know what to order, when to order it, and what waiting will cost.

Fopsis turns your sales history into a buy list you can act on: AI and statistical forecasts tested on your own sales, new products forecast from day one, orders timed to each supplier’s lead time, and a monthly budget spent where it protects the most profit.

Start Free Trial See pricing

AI + statistical forecasting Unlimited products on Pro Connect a store or import any spreadsheet From $49 a month 7-day free trial

What you get

Six things a spreadsheet will not do for you

Each one is in the product today, on every plan that includes it.

A buy list, not just a forecast

Nobody wants a forecast for its own sake. You want to know what to order this week.

What to order each month, from which supplier, in the order to pay for it
Orders timed to each supplier’s lead time; purchase orders rounded to their minimum and case pack
Late orders, and stock that runs out before any new order can land, flagged before they cost you
From plan to purchase order in one step: send, confirm, receive

Spend a limited budget where it counts

When cash cannot cover the whole plan, Fopsis decides what to fund first, and says what the rest will cost.

One monthly budget for the whole team, with different amounts for busy months
Money goes first to what would run out, then to the best profit per dollar
What waits moves to the next month, and the sales it costs are priced
Spare money buys ahead of a peak, and you see the smallest budget that loses no sales

AI that has to earn its place

AI is used only where it beats the statistics on your own sales.

Small neural networks for each product, learning from its own sales once it has 15 months of regular sales
Blended with the best of a dozen statistical methods, and never used on slow, intermittent sellers
Tested against the statistics on your products’ recent months before it is used, and the result shown
The same sales give the same forecast, in the app and overnight
Run it on one product, or on a whole brand at once

Forecasts you can defend

A number you are about to spend money on should be able to explain itself.

History corrected for stockouts and promotions, with returns netted out
Every forecast says how it was made: the method, the basis, the confidence, what changed
Accuracy proved on your data against a spreadsheet method, then measured as each month closes
Products with no sales for six months flagged, so nobody reorders them by habit

New products, forecast from day one

No sales history is not the same as no information.

Forecast from comparable products, matched on category, brand and price
A launch ramp for the first months (40%, 70%, then full), on or off
Choose the product it should sell like, or type your own first-year estimate
Nothing comparable and no estimate? It says so, instead of inventing a number

Seasonal demand, handled

Built for products whose demand rises and falls through the year, not one flat average.

Peaks and quiet months forecast per product
Service levels by product class: protect the best sellers, stop over-buying the tail
Promotions and launches recorded once; the forecast and the buy list follow
Monthly and weekly order views that always agree

Why Fopsis

Between a spreadsheet and a planning suite

The planning depth of the big tools, at the speed and price of a spreadsheet.

	Spreadsheets	Enterprise planning suites	Fopsis
Tells you what to order, and when	Built by hand, every month	Yes	A buy list by month, in priority order
A forecast per product, with seasonality	Only the formulas you write	Yes	The best of several models, chosen per product
AI forecasting	No	Often, rarely explained	Used where it beats the statistics, and says so
New products with no sales yet	Copy a similar row and guess	Usually, after set-up	From comparable products, with a launch ramp
Corrects history for stockouts and promotions	No	Often an add-on	Included
Shows how every number was made	Only your own formulas	Rarely in plain words	Every forecast and order explains itself
Proves its accuracy on your own data	No	Varies	Built in, against a spreadsheet method
Spends a limited budget and prices the lost sales	By hand	Some do	Built in, buying ahead of peaks
Build your own reports and charts	Pivot tables, rebuilt every month	Often a separate BI tool	Drag and drop, with charts and PowerPoint
Time to a first buy list	Days of formulas	Weeks to months of set-up	An afternoon: connect a store or import a file
What it costs	Free, paid for in hours	Annual contracts and set-up fees	From $49 a month, cancel anytime

Each column describes the typical tool in that category, not any one product.

Reports

Answer your own questions, without a spreadsheet

Build the report you need, and follow every item from order to shelf to sale.

Build your own report

Drag the fields you want into rows, columns and filters, like a pivot table.

27 figures across sales, stock, plan and product: revenue, gross profit, stock value, excess, cover, stockout rate, forecast accuracy, what to order
Broken down by company, supplier, brand, category, class and product, by month, quarter or year
Filtered by any figure, compared with the previous period or last year, and drilled into
Up to 12 charts you design: bars, columns, lines, areas, stacked, share of total, donut and KPI tiles
Exported to PowerPoint with charts you can still edit, or to Excel with the charts included
Saved as a tab under Reports for the team, and worked out fresh each time it opens

Stock movement: every item’s full story

What was ordered, what arrived, what sold and what is left, for every item, month by month.

Last year, this year and next year side by side
Next year from the forecast and the order plan, in the same four lines
Every quantity with its cost, sales and gross-profit value, at landed cost
Grouped by category or brand; find any item, hide the ones that never moved
To Excel or to print in one click

Everything else

The rest of what you would expect, done properly

Data in, without the clean-up

Shopify, Amazon, WooCommerce, Lightspeed, QuickBooks, Salesforce, HubSpot and JD Edwards
Import any spreadsheet layout, including exports from Xero and Sage
Undo an import for 30 days

Stock at a glance

A dashboard that leads with money, then what is running low or in excess
Inventory sorted into reorder now, overstocked and dead stock
Products with no stock count flagged, so a missing figure never passes for zero

Built for more than one brand

Brands, product families and variants
One reporting currency, with your own exchange rates
Landed cost, freight and duty included, in every margin

Every channel and location

Online stores and wholesale forecast as separate channels
Channel forecasts add up to the product’s, to the unit
Plan each location, or the whole business at once

Plans that stay put

Approve and lock a plan before you order from it
Overrides keep the system’s number beside yours, with a reason
Each override is scored once the month is known

Reports people read

Sales history, sales against target, a performance ranking and comparisons
Forecast and forecast-accuracy reports
Excel, PDF and PowerPoint exports that match the screen

A team, safely

Roles, and access limited to chosen brands
An activity log of who changed what
Two-factor sign-in

Help where you need it

“Ask Fopsis” help chat answers with your own numbers
A guided set-up from company to first product
In English and French, on a computer or a phone

Is it right for you?

Honest about who it is for

A great fit

Several brands, one business
Seasonal products
100 SKUs or more, with no upper limit on Pro
Planning in spreadsheets today
At least a year of sales history

Not the right call yet

A handful of SKUs
Allocation across many warehouses
A new business with no sales yet
Made to order

See who we serve

Your first buy list this afternoon

Connect your store or import a spreadsheet, and see what to order, when, and what it costs.

Start Free Trial View Pricing

7-day free trial — card required to start, cancel anytime before it ends and you won’t be charged.