Grabb for demand
Know what demandis changing next.
Track velocity, seasonality and expected demand across customers and products—before the change becomes an inventory problem.
Most teams forecast demand by looking backward, exporting spreadsheets and applying judgment. The actual problem is not simply forecasting—it is knowing what is changing, where, and whether the business should react.
- What demand is changing
- Where it is changing
- Whether the change is meaningful
- Whether inventory or replenishment should react
- Which SKU deserves attention
- What is normal seasonality versus abnormal behavior
Forecasting shouldn’t start with a spreadsheet. It should start with what changed.
Before
- 1Historical sales
- 2Spreadsheet
- 3Forecast
After
- 1Historical pattern
- 2Current demand
- 3Deviation
- 4Forecast
- 5Action
How it works
From transaction history to replenishment signals.
- 1
Orders + sales history
- 2
Seasonality + velocity + customer patterns
- 3
Expected demand
- 4
Current demand
- 5
Deviation
- 6
Forecast / replenishment signal
- 7
Action
Signals Grabb surfaces
- Seasonal demand starting earlier than last year
- SKU velocity accelerating
- Product slowing materially
- Major customer reorder expected next month
- Inventory insufficient for expected demand
- Excess stock building against declining demand
Grabb continuously compares actual behavior to expected behavior—so planning teams focus on what moved, not on rebuilding the same spreadsheet every week.
Grabb watches demand continuously.
Grabb combines customer, product and order behavior to surface changes that deserve a planning or replenishment decision.
Built for
- Demand Planner
- Supply Chain Manager
- Operations Director
- Purchasing Manager
- CFO
- General Manager
- Brand / Product Manager
01 — Velocity
Find the products moving faster.Or slower.
Not every SKU moves at the same pace—and pace changes before the monthly report catches up. Grabb tracks velocity so you see acceleration and deceleration early.
SKU velocity
Identify meaningful changes in how quickly product is moving.
Customer-driven demand
See whether demand changes are broad or concentrated in specific accounts.
Channel behavior
Understand which channels are creating the change where data is available.
Velocity is often the first signal that a forecast—or replenishment plan—needs attention.
02 — Forecast
Forecast the range.Not just one number.
False precision creates false confidence. Grabb models expected demand as a range informed by history and current behavior—not a single point that pretends to be exact.
- Expected demand
- Confidence range
- Seasonality
- Recurring customer patterns
- Trend changes
Forecasts are inputs to decisions. Grabb helps teams understand the direction and magnitude of change without overstating certainty.
03 — Replenishment
Turn demand changes into replenishment signals.
The useful forecast is not the chart—it is knowing when supply or purchasing needs to react.
- Expected shortage
- Excess inventory risk
- Upcoming demand
- Reorder timing
- High-impact SKUs
Replenishment signals connect demand intelligence to the operational decisions that protect service levels and working capital.
04 — Exceptions
Don’t forecast every SKU manually.Investigate the exceptions.
Most SKUs follow predictable patterns. Grabb prioritizes the exceptions—where demand deviates enough from expectation to deserve a planner’s attention.
- Forecast significantly above historical baseline
- Demand declining faster than expected
- Seasonal pattern shifted
- Demand exceeds available inventory
- Major customer cadence changed
Exception-based planning scales better than spreadsheet-by-spreadsheet forecasting across thousands of SKUs.
The forecast is not the action.
Grabb is designed to shorten the distance between a demand signal and the operational decision it requires.
- Forecast
- Exception
- Decision
- Action
Questions about demand intelligence
How does Grabb forecast demand?
Grabb uses connected sales and order history—along with seasonality, velocity and customer patterns—to model expected demand and compare it to current behavior. The focus is on meaningful deviation, not rebuilding static spreadsheets.
Does Grabb account for seasonality?
Yes. Seasonal patterns from historical data inform expected demand so teams can distinguish normal seasonal movement from abnormal change.
Can Grabb forecast at SKU level?
Yes. Demand signals and forecasts are available at the SKU level, with prioritization for the products that deviate most from expectation.
Can forecasts include customer behavior?
Yes. Recurring customer patterns and account-level demand help explain whether a change is broad or concentrated in specific customers.
Is Grabb a full demand planning system?
Grabb is a System of Action for demand—not a replacement for a full APS or enterprise demand planning suite. It surfaces what changed, where it matters and what deserves a planning decision.
Does Grabb recommend replenishment actions?
Grabb surfaces replenishment signals and prioritized actions—such as expected shortages, excess inventory risk and reorder timing—so planning and purchasing teams know what to investigate next.
What historical data is required?
Grabb works with sales and order history from your connected systems. The more complete your transaction history, the stronger the seasonal and velocity baselines.
What systems does Grabb connect to?
Grabb integrates with QuickBooks, Shopify, Sage, Xero, Zoho, Salesforce, Amazon, and your ERP.