[ AI demand forecasting ]
Plan Production, Staffing and Stock From One Forecast Everyone Trusts
We build forecasting systems that predict demand from total company level down to product and region, account for promotions and launches, and plug into your S&OP process.
Weekly demand, units in thousands (example)
What We Measure With You
Targets are set during the backtest; results depend on your data and planning process.
- 01
- Forecast error
- Error by level and horizon versus your current plan
- 02
- Forecast bias
- Consistent over- or under-forecasting
- 03
- Inventory cost
- Holding and obsolescence cost
- 04
- Expedites
- Emergency orders and overtime
Why Demand Plans Drift From Reality
Forecasts built in separate spreadsheets rarely agree, and nobody trusts the final number.
- 01
Plans that do not add up
Sales, finance and operations each keep their own forecast.
- 02
Promotions distort history
Past campaigns inflate the baseline and mislead the next plan.
- 03
New products guessed
Launches are planned from instinct, then overstocked or sold out.
- 04
Late exceptions
Big misses surface only after production or hiring is locked in.
How We Build Your Forecasting System
We backtest against your current plan, then embed the forecast in your planning cycle.
- 01Forecast design
Planning review
We map your hierarchy, planning horizons, S&OP calendar and current forecast method.
- 02Driver dataset
Data and drivers
Sales, orders, promotions, prices and outside drivers are cleaned and joined.
- 03Accuracy by level and horizon
Model backtest
Hierarchical models are compared with your current forecast across past cycles.
- 04Live forecasting cycle
Planning integration
Forecasts, exceptions and scenarios feed dashboards, S&OP meetings and your ERP.
Data the Models Use
We map each source in the first weeks and only use the ones that improve the result.
- Orders and shipments
- Promotions and pricing
- Product hierarchy and attributes
- Customer and channel data
- Economic and market indicators
- Weather and calendar events
What the System Does
One forecast for every team, explained and easy to adjust.
Hierarchical forecasts
Company, category, product, region and channel levels reconciled.
Promotion modeling
Uplift, halo and cannibalization from planned campaigns.
New product forecasts
Launch curves from similar past products and attributes.
S&OP integration
Consensus numbers, overrides and versions for planning meetings.
Exception management
Items drifting from forecast surfaced early, ranked by impact.
Scenarios
What-if plans for price changes, supply limits or new markets.
Demand Forecasting Stack
Forecasting models wired into BI and planning tools.
- Prophet
- XGBoost
- LSTM networks
- Hierarchical reconciliation
Where It Fits
- 01ManufacturingProduction plans and raw material purchasing.
- 02CPG and FMCGRetailer demand with heavy promotion calendars.
- 03RetailStore and online demand by category and region.
- 04Wholesale distributionCustomer orders across many warehouses.
- 05PharmaceuticalsDemand for critical products with long lead times.
Backtest first
One Forecast Your Planners Will Actually Use
We compare the new forecast with your current plan across past cycles before it enters a single S&OP meeting.
Book a Forecasting CallDemand Forecasting Cost
Indicative starting prices. Cloud usage is billed to your account.
2 to 3 weeks
from$2,500
Forecast backtest
Data review and a backtest against your current plan
6 to 10 weeks
from$12,000
Production forecasting
Hierarchical forecasts, dashboards and exceptions
3 to 5 months
from$35,000
S&OP platform
Scenarios, consensus workflow and ERP integration
What Planning Teams Say
5.0Clutch
5.0GoodFirms- 5.0Google
- 4.9Upwork
I had the pleasure of working with Sajal Tech on a travel website, and it was an incredible experience from start to finish. They demonstrated professionalism, clear understanding of requirements, and excellent communication throughout.
Knowledgeable, efficient, and ahead of schedule. Will hire again.
They completed our project even when the scope changed slightly. They were cooperative when we wanted to add or modify features.
Demand Forecasting Questions
Demand forecasting plans what customers will want across the business; inventory forecasting turns that into stock and reorder decisions. Many clients use both.
Yes. Overrides are part of the workflow and are tracked, so you can see where human input improved or hurt accuracy.
From days to 18 months or more, with accuracy reported separately for each horizon.
Yes. Forecasts can be written to SAP IBP, Anaplan, Oracle or your ERP, or shown in Power BI and Tableau.
That is common. The first weeks focus on cleaning history, removing promotion effects and handling gaps.
In your cloud account or warehouse. We follow ISO 27001 practices.
Let's build your next product together
Book a free strategy call and leave with a clear plan and estimate. No commitment.
- 01Pick a time that suits you
- 0230 minutes on scope, stack, timeline and budget
- 03Fixed-price proposal, NDA on request