Service · Anticipate
Forecasting that tells your team what to order, stock and move next.
We build demand, inventory, lead-time and fleet forecasts on your own history in SAP, POS and spreadsheets, then push the result into the tools your planners already use.
- Demand forecasting
- Anomaly alerts
- SAP / ERP
Sales, stock, supplier and fleet history you already hold, cleaned and consolidated first.
What we build
What we forecast
Forecasts are only useful if someone acts on them, so each one ends in a reorder point, a staffing plan or an alert.
SKU and outlet demand
Daily or weekly demand per product and location, including promotions, Ramadan and holiday peaks.
Reorder points and safety stock
Recommended order quantities that balance stock-outs against cash tied up in inventory.
Supplier lead times
Predicts late deliveries from supplier history, so planners act before the shortage.
Material consumption
Links planned progress to material usage and flags leakage on project sites.
Fleet demand and rebalancing
Forecasts where vehicles will be needed and when to move them.
Anomaly detection
Flags unusual sales, usage or stock movements the day they happen.
Process
How an engagement runs
Discovery
We map the decisions forecasts should drive and the data behind them.
Data foundation
History from ERP, POS and spreadsheets is cleaned and consolidated.
Model and test
We back-test against the last 6–12 months so you see accuracy before go-live.
Operate
Forecasts land in your planning tools, with retraining as patterns change.
Why forecasting starts with data
Most forecasting projects fail on messy data, not on the model. That is why many engagements start with our Data Integration service and a single source of truth.
Related work
Case studies from our founders' work at previous companies, before AIQU Systems.
Frequently asked questions
How much history do we need for demand forecasting?
Ideally 12–24 months of sales or usage data per product and location. Less can work for fast-moving items; we check during discovery.
Does it work with SAP and Excel?
Yes. We connect to SAP and other ERPs, POS systems and shared spreadsheets, and can write results back to them.
How do we know the forecast is good?
We back-test on your own past data and agree an accuracy measure, such as forecast error by SKU, before go-live.
Can it handle Ramadan and holiday peaks?
Yes. Calendar events, promotions and local holidays are built into the model as explicit features.
Find out what your cameras are missing.
Start with a Vision Assessment: 2 days of your existing CCTV footage, a loss report in rupiah within 10 working days, and the Rp 25.000.000 fee credited in full toward a pilot.