Forsyt Supplycast OS
ForsytSupplycast OS Try the demo
Forsyt Supplycast OS

Put the stock where the event will be.

Supplycast starts from your own data: sales history, stock, promotions and what your field teams report. It places each signal around every depot and store, works out how much it lifts sales, and tells your supply and sales teams what to move, order and push, and when.

See it on a live scenarioHow it gets built
The problem

Last year's sales do not know where this year's crowd is going.

Sales of snacks, drinks, personal care and similar products jump around events. Most plans are built from last year's numbers, so a shop near a big event runs out while a warehouse elsewhere sits full. One side loses sales. The other holds stale or wasted stock.

"Stock runs out during festivals."
"Our forecast ignores local events."
"We overstock some areas and run short in others."
WeddingsFestivalsConcertsFairsSports matchesExamsHoliday seasons
How it works

Four jobs, one picture for supply and sales.

Supplycast joins supply and forecast. It does not ask your teams to read a calendar. It turns events into numbers they can act on.

1

Event and location signals

Collects upcoming events by city and area, from metros to small towns. It starts with your own seasons, schemes and field reports, and can add public event feeds later.

You get
Every event as a point with exact latitude and longitude, dates and a size band.
Needs from you
Your promotion calendar, and a way for field teams to report events.
2

Demand forecast

Estimates how much each event or location will lift sales of a product, and when.

You get
A daily forecast per product and location, with the events behind each rise.
Needs from you
Twelve months of daily sales by location and product.
3

Stock planning

Suggests where to move or add inventory ahead of the demand.

You get
Order by this date, this much. Or move this stock from here to there.
Needs from you
Stock on hand, supply lead times and your safety stock rule.
4

Sales forecasting

A forward view, not only a look back at last year. For retailers it works store by store.

You get
Which store needs more of which product, in which week.
Needs from you
The same sales feed. No extra data.
Event data, forecast and stock plan sit in one view, so supply and sales teams work from the same picture.
Live demo

Change the events. Watch the stock plan change.

A working model on an illustrative southern cluster: six locations, nine products, thirteen signals from your own business, today set to . Switch the view, turn a signal source off, add your own.

View as
Signal sources
Events lift sales

Stock position, every location and product

Number is days until stock runs out at the forecast sales rate (42+ means more than six weeks). Pick a cell to open it.

Runs out soonReorder dueEvent surge aheadOverstockOn track

Where to push sales

Forecast lift over normal sales, by location and week. For sales teams and trade marketing.

Move stock instead of making more

Surplus at one location can cover a shortfall at another. Only moves that arrive in time, within 450 km, are shown.

Event and location signals

Every signal is a dated point on the map.

The forecast needs where and when, not general trends. Most signals come from inside your business, so there is little to buy and nothing to scrape. Each one carries exact coordinates and dates, so Supplycast can measure how far it reaches into each depot or store's catchment.

Circles are signals, squares are your locations. Outline is schematic. Tap an event.

Your sales history

Source
The sales file you already send us, three seasons deep. Nothing new to collect.
How
For each location, weeks that ran well above the normal rate are found and matched to the same season now, such as Karthigai or Margazhi.
Watch out
Needs at least two seasons of daily sales. A pattern is only used if it repeats.

Your promotions

Source
The trade marketing scheme sheet: dates, locations, products, scheme type.
How
Read from the sheet or entered in a short form. Approved schemes count as confirmed, drafts as estimated.
Watch out
Extended or cancelled schemes change the forecast the same day, and the change is listed.

Field and distributor input

Source
Sales reps, area managers, distributors and key accounts.
How
A short form or a WhatsApp message: where, which dates, how big. A planner confirms it before it counts.
Watch out
Only as good as reporting. Shown as estimated until confirmed.
Implementation

Built on data you already have.

Supplycast reads two exports from your business and adds the event feeds. It recommends. Your planners approve. Orders go out the way they go out today.

Comes in

  • Stock on hand by location and product, from an ERP export or API
  • Daily sales by location and product, from POS or distributor billing
  • Locations with latitude, longitude, catchment radius and supply lead time
  • Signals from your promotion calendar and field reports. Public feeds are optional

Supplycast engine

  • Normal rate per product and location, with the weekday pattern
  • Signal lift by signal type and product group, fitted from your past sales
  • Reach of each event into each catchment, from distance
  • Stock run-forward against lead time and safety stock
  • Recommendations with the events that caused them

Goes out

  • Stock position grid and sales outlook for the teams
  • Order and dispatch requests drafted for WhatsApp or email
  • Draft purchase orders back to the ERP for approval
  • Move suggestions between depots or stores
  • Weekly outlook by store and product for sales and trade marketing
Weeks 1 to 2

Connect

Share stock and twelve months of sales for one region. Set locations, catchment radius and lead times. Promotion calendar and field reporting switch on.

Weeks 3 to 4

Back-test

Replay the last festival season. Compare what Supplycast would have advised with what happened and with your actual plan. You see the gap before anyone acts.

Weeks 5 to 6

Pilot

Planners review recommendations in one region. Order drafts go out through your normal approvals.

Week 7 onward

Run

More regions. Weekly outlook for sales and trade marketing. Lift values keep refitting as new sales arrive.

What we need from you

  • A stock file and twelve months of daily sales for one region, as CSV or an ERP export
  • A list of depots or stores with locations and supply lead times
  • One planner who reviews recommendations in the pilot
  • Your safety stock rule, or we start with three days

What it does not do

  • It does not place orders on its own. A person approves every request.
  • It does not replace your ERP or your planning system.
  • It will not catch an event nobody lists. That is why your team can add one in seconds.
  • Its lift values are starting estimates until the back-test fits them to your sales.
Who it helps

The same picture, four different mornings.

Producers

Food and snacks brandsStock-outs near festivals and events, excess stock elsewhere.
Beverage brandsDemand spikes with heat, cricket matches, concerts and festivals.
Personal and home care brandsWedding and festive season demand that last year's numbers miss.

Sellers

Supermarkets and hypermarketsSome stores overstocked and others empty on the same day.
Electronics and consumer durables retailersFestive sales and big sports events shift demand store by store.
Next step

See it on your own numbers.

Send one region's stock and twelve months of sales. We replay your last festival season and show what would have changed.

1Share one region's stock and sales file
2We run the back-test on your last season
3You see stock-outs avoided and stock released, in your own products
Talk to ForsytBack to the demo