Woollen scarves
- In stock
- 340 units
- Forecast, 8 weeks
- 30 units
- Weeks of cover
- 90.7
Suggest transfer to the Shimla store, or a markdown to clear before season end.
Transfer 220 Markdown 25%
Demand forecasting and inventory planning
See demand coming before it arrives.
Predicstox forecasts demand for every item in every store or warehouse, tells you what to reorder and when, warns you before stock runs out, and finds the stock that isn't moving.
Sample retailer · 400 products · next 8 weeks
Steel water bottle 1L
Store: Andheri
- On hand
- 38
- Forecast, next 14 days
- 112
- Stockout expected
- in 5 days
School reopening + summer heat
Suggested reorder120 units · Vendor A
Lead time 4 daysOrder by tomorrow
Confidence: high, based on 3 years of seasonal pattern
400 products charted
64 forecast bands drawn
5 constellations sold together
1 red giant
1 dimming star
Who looks through it
Built for teams who pay for every empty shelf and every unsold carton.
Stockouts lose the sale today. Dead stock locks up cash for months. Predicstox works on both ends of the same problem, item by item and location by location.
Retail chains
Twenty stores, one buying team. Bestsellers run out in one branch while the same item gathers dust in another.
Distributors
Thousands of SKUs, long vendor lead times and retailers who expect every order filled in full.
D2C brands
A campaign takes off, the hero product sells out, and the next production batch is six weeks away.
Manufacturers
Raw material buying depends on finished-goods demand that sales teams can only guess at.
How to read the sky
Every product is a star. Its brightness is how much it sells.
Lines between stars join products that sell together. A soft blue band reaches from each star into the next eight weeks: that is its forecast. Two kinds of star need your attention.
Red giants
Items whose forecast will outrun stock before a new order can land. They turn red days in advance, with a reorder or transfer already drafted.
Stockout AlertsDimming stars
Items with far more stock than demand. They fade on the chart, and come with a transfer to a store that needs them or a markdown that clears them.
Overstock FinderA forecast for every item, in every store, every week.
Predicstox reads your sales history, then models trend, seasonality, festivals, school calendars, weather and your own promotions to project the next 8 to 26 weeks of demand, with a confidence band you can actually plan around.
Explore Demand Forecaster
ForecastsHydrationAndheriWeeklyDailyBy storeAccuracy Export
Actual sales Forecast P50 P10 to P90
Item x store x week
Forecasts are built at the level you buy and replenish, then rolled up to category, region and company totals.
Confidence, not false precision
Every forecast carries a P10 to P90 range. Wide bands flag items where safety stock matters more than the point estimate.
Explained, factor by factor
See how much of next week comes from trend, season, a festival or a planned discount, so buyers can challenge the number.
Re-learns every week
New sales flow in, forecasts update, and accuracy is tracked against what actually sold, item by item.
Know what to order, from whom, and by which day.
The Reorder Planner turns forecasts into a draft purchase plan for each vendor. It respects lead times, minimum order quantities, case packs and your open-to-buy budget, then waits for your approval.
Explore Reorder PlannerOrder-by dates
Each line shows the last safe day to place the order, based on the vendor's real lead time, not the promised one.
MOQ and case packs
Quantities round to case packs and minimums, and the planner shows the extra cover each rounding buys you.
Reorder planWeek 15All storesBy vendorBy storeBy category Export
Open-to-buy, April$18,400 of $25,000
Service level 95%Target cover 28 d
Vendor A · Steelware4 days actualOrder by tomorrow
| Item | On hand | Forecast 4 wk | Pack | Order | Cover after |
|---|---|---|---|---|---|
| Steel water bottle 1L | 38 | 224 | 24/case | 120 | 19 d |
| Steel bottle 750ml | 61 | 148 | 24/case | 96 | 24 d |
| Insulated lunch box | 22 | 96 | 12/case | 84 | 28 d |
Vendor C · Polyhome9 days actualOrder by 14 Apr
| Item | On hand | Forecast 4 wk | Pack | Order | Cover after |
|---|---|---|---|---|---|
| Kids school bag 18L | 140 | 310 | MOQ 50 | 200 | 31 d |
| Rain poncho, adult | 15 | 40 | 20/case | 40 | 29 d |
Nothing is sent to vendors until you approve.Edit lines Approve and export PO
AlertsStockout riskOpen 14Snoozed 3Resolved Export
Steel water bottle 1L
Andheri
Runs out in 5 d · lead 4 d
74 units$412 marginReorder 120 from Vendor AORS sachets, 20 pack
Thane West
Runs out in 3 d · lead 6 d
210 units$389 marginTransfer 80 from PowaiMosquito repellent refill
Borivali
Runs out in 9 d · lead 7 d
46 units$151 marginAdd to next PO, Vendor DKids school bag 18L
Pune Camp
Runs out in 12 d · lead 9 d
38 units$608 marginReorder 60 from Vendor C
Gold tick = vendor lead time. Bars ending before it mean only a transfer can save the shelf.
A warning days before the shelf goes empty.
Stockout Alerts compare stock on hand with the forecast and the vendor's lead time. When an item will run out before a fresh order can land, you hear about it while there is still time to act.
Explore Stockout AlertsDays to stockout
Every alert states the expected run-out date and how many sales are at risk between then and the next delivery.
Fastest fix first
If another store holds spare units, the alert suggests a transfer before a rush order.
Diwali, monsoon, school reopening. Each one moves demand differently.
Seasonality Lens maps the events that shape your year and measures what each one did to every category in your own history. Regional festivals, school calendars, heat waves and rains become numbers you can plan with.
Explore Seasonality LensSeasonalityMumbai regionLift by categoryEvent calendarWeather Export
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Events
Pongal / SankrantiHoliSummer heatSchool reopeningMonsoonOnamNavratriDiwaliWinter
Hydration
+48%
+61%
+34%
School supplies
+64%
Rainwear
+58%
+72%
+51%
Kitchenware
+54%
+38%
Winter wear
+32%
+46%
+62%
Moving festivals are aligned by event date, not calendar date.
Moving festivals
Diwali, Eid, Onam and Pongal shift every year. The lens aligns history by event, not by calendar date.
Weather signals
Heat, rain and cold are read per city, so umbrellas lift in Mumbai weeks before they lift in Delhi.
School calendars
Term start dates by state drive bags, bottles, lunch boxes and stationery. They are built in.
Your own events
Add local fairs, store anniversaries or a sale weekend. Their effect is learned from the next occurrence.
Test a discount before you print the banner.
Promo Impact simulates a promotion on your own price response. Pick a category, a depth and a window, and see the extra units, the stock you need to support it, and what happens to margin.
Explore Promo ImpactCannibalisation
Shows how much of the lift is stolen from full-price items in the same category.
Stock to support it
Calculates the units needed per store so the promotion does not end in empty shelves on day three.
Promo ImpactKitchenwareDiwali fortnightSimulatorPast promos Export
20% off on kitchenware for Diwali?
Margin change against no promotion
- Expected units
- 7,845 vs 4,200 without promo
- Extra units
- +3,645 656 taken from full-price items
- Stock to buy
- 5,376 3,100 on hand, 8% buffer
- Margin effect
- -6.6% $18,828 gross margin
Move the slider. The numbers recalculate from the price response.
The stock that isn't moving, and the vendors who aren't on time.
Two quiet leaks in every inventory. Slow stock with transfer and markdown suggestions on one side; vendors ranked by how close their deliveries come to the promised date on the other.
OverstockAll locationsWoollen scarves
Andheri · 340 in stock · forecast 30 in 8 wk
90.7 wk$2,380 Transfer 220 to ShimlaRoom heater 2000W
Chennai DC · 58 in stock · forecast 2 in 8 wk
232 wk$1,740 Transfer 50 to Delhi NCRRaincoat, kids
Jaipur · 190 in stock · forecast 24 in 8 wk
63.3 wk$950 Markdown 30%, sells 150Gift hamper, Diwali 2025
All stores · 74 in stock · forecast 0 in 8 wk
dead$1,110 No sale in 90 days · return to vendor
SuppliersLead times- Vendor A · Steelware94%98%
- Vendor B · Glassline71%95%
- Vendor C · Polyhome52%88%
- Vendor D · Herbcare89%97%
Promised Actual average Spread to P90
How it works
From a sales export to an approved purchase order.
- 01
Connect your data
Upload a sales export or schedule a nightly file from your POS, ERP or Tally. Items, stores, stock and open POs are mapped once.
- 02
Backtest on your history
Before you trust a single number, the model forecasts your past year blind and shows how close it came, item by item.
- 03
Plan every week
Forecasts refresh, alerts arrive in a morning digest, and reorder plans are drafted for each vendor.
- 04
Approve and act
Buyers review, edit and approve. Purchase orders and transfers export to the systems you already run.
Works with data from
- Tally Prime
- SAP Business One
- Zoho Inventory
- Shopify
- Unicommerce
- Microsoft Dynamics
- Excel and CSV
- REST API
Plain promises
A planning instrument, not a crystal ball.
The forecast is a calm second opinion with its working shown. Your buyers stay in charge of every rupee and dollar spent.
Estimates, not guarantees
Forecasts are estimates with confidence ranges. Every number shows how sure the model is.
Suggests, never orders
Predicstox never places a purchase order without your approval.
Inventory, not investments
An inventory planning tool. No stock-market predictions and no investment advice.
Your data stays yours
Encrypted, owned by you, and never used to train AI for other customers.
Questions
Questions from planners
How much sales history do you need?
Ideally a year, so every season has been seen at least once. Two or three years sharpen festival and weather effects. You can start with as little as 12 weeks; forecasts begin with wider confidence bands and tighten as history builds up.
Does it connect to our POS, ERP or Tally?
Yes. Most teams start with a scheduled CSV or Excel export of sales, stock and purchase orders, which works with Tally, SAP Business One, Zoho Inventory, Shopify and almost every POS. The Observatory plan adds direct ERP sync and a REST API.
How accurate are the forecasts?
It depends on the item. Fast movers in stable categories often land within 10 to 15% weekly error; slow, lumpy items are less predictable. Accuracy is measured openly as WAPE and bias for every item, and every forecast carries a P10 to P90 range so you can see how sure it is.
Can it handle new products?
Yes. A new item borrows the demand shape of similar items in the same category, price band and stores, then shifts to its own history as soon as real sales come in.
Does it place orders?
No. Predicstox suggests orders; you approve them. Approved plans export as purchase orders in CSV, Excel or a Tally-ready format, and you send them through the channel you already use.
Is this about the stock market?
No. The "stox" in Predicstox means inventory stock. It forecasts units of product on your shelves and in your warehouses. It does not predict share prices or offer investment advice.
Dawn over the observatory
Forecast your first 100 items free.
Observation request · no. 001
- Items in view
- 100 SKUs
- Locations
- 1 store or warehouse
- Horizon
- 8 weeks ahead
- Card required
- None