Systems of record
- Sales
- Orders
- Customers
- Products
- Inventory
Demand
Know what demand is changing before you buy too much, or run short.
Grabb is Commerce Operations software for CPG brands, distributors and manufacturers. It watches customer, product and order behavior continuously, catches meaningful changes and prepares the planning decisions that need attention.
For teams managing more SKUs, customers and channels than anyone can manually forecast one by one.
Uses the sales and order history you already have · No planning-system replacement
When demand starts to scale
More products create more demand signals than anyone can watch manually.
As the business grows, each SKU develops its own pace, seasonality, customer mix and channel behavior. What changed last week may already affect what you need to buy, stock or fulfill next.
The problem is not having historical data. It is knowing which change matters now.
The larger the assortment gets, the harder it becomes to separate normal variation from a change that requires a planning decision.
- A seasonal product starts accelerating earlier than last year.
- A high-volume SKU suddenly slows.
- A major customer changes its normal reorder cadence.
- Demand is rising while available inventory is falling.
- Stock continues building behind a product losing momentum.
The gap
Your forecast is a plan.Demand keeps moving after you make it.
ERP reports and spreadsheets show what sold and what was planned. Someone still has to determine whether customer and SKU behavior is changing enough to alter what happens next.
The plan knows
- Historical sales
- Current inventory
- Existing forecast
- Purchase plan
- Seasonality assumptions
The business needs to know
- Which SKU just changed pace?
- Is the change normal or unusual?
- Which customer or channel is driving it?
- Is supply still enough?
- Is excess inventory beginning to build?
- Which decision needs attention now?
Planning gets hard when yesterday’s assumptions meet today’s behavior.
From signal to decision
Every order changes the demand picture.
- 1
Orders + sales history
- 2
Expected behavior
- 3
Current behavior
Meaningful deviation
- 5
Demand / replenishment impact
- 6
Planning decision
Examples of planning exceptions
- Seasonal demand starts earlier than expected
- SKU sales accelerate materially
- Major customer reorder cadence changes
- Demand begins exceeding available inventory
Grabb watches the deviation so planners don’t have to rebuild every SKU every week.
The team starts with what changed, why it matters and which decision deserves attention: managing exceptions, not forecasting everything again.
Built for
- Demand Planner
- Supply Chain Manager
- Operations Director
- Purchasing Manager
- CFO
- General Manager
- Brand / Product Manager
01 · Sales velocity
A product rarely jumps from normal to problem overnight.Its pace changes first.
Grabb compares each SKU’s current sales pace with its own history so planners can see which products are changing fast enough to affect supply.
Product
Which SKUs are moving materially faster or slower?
Customer
Is the change broad, or is one major customer driving it?
Channel
Where is the change coming from when channel data is available?
Velocity is the early signal. The inventory consequence comes later.
02 · Forecast
The future is not one number.
A forecast should help the team understand what is likely, without pretending uncertainty disappeared.
Plan for a range. Watch when reality starts leaving it.
Grabb keeps the expected range visible and highlights the demand changes that may require the plan to move.
Built from
- Historical demand
- Seasonality
- Recurring customer patterns
- Current activity
- Trend change
03 · Replenishment
Buying too late creates shortages.Buying too early creates inventory.
The hard part is not knowing that stock is eventually too high or too low. It is seeing the demand change early enough to review the purchasing decision.
Expected shortage
Demand is moving ahead of available supply.
Excess-stock risk
Inventory is building while demand is slowing.
Timing
The demand signal changed enough to reconsider when replenishment should happen.
High-impact SKUs
Focus purchasing attention where the operational consequence is greatest.
Grabb prepares the demand context. Your team decides what to buy and when.
A planning signal alone does not place a purchase order. Automated purchasing needs a supported workflow, connected system, configured rules and authorization.
04 · Exceptions
Don’t forecast every SKU manually.Start with what changed.
If 950 products are behaving normally and 50 are not, planning time should start with the 50.
Illustrative example only, not Grabb performance data.
The goal is not more forecasts. It is fewer surprises.
Grabb continuously prepares the exceptions so planners spend their time deciding, not rebuilding the same analysis.
- Forecast materially above historical baseline
- Demand declining faster than expected
- Seasonal pattern shifted
- Demand exceeds available inventory
- Major customer cadence changed
System of action
Your systems record demand.Grabb watches where it is moving.
ERP, accounting and order systems remain the Systems of Record. Grabb uses the history already inside them to compare expected behavior with what customers and products are doing now.
Grabb
- 1Observe
- 2Compare
- 3Prioritize
- 4Prepare / Execute
- 5Escalate
Planning work
- Forecast review
- Shortage risk
- Excess-stock risk
- Replenishment priority
- Demand exception
- Purchasing decision
Keep the systems. Stop rebuilding the demand picture around them.
Demand, in motion
Grow the assortment without losing sight of what customers are actually pulling.
React earlier
See meaningful demand changes before they become obvious in month-end reporting.
Protect availability
Identify where expected demand is moving ahead of supply.
Reduce excess
See where product momentum is slowing against inventory.
Give planners back their time
Focus on exceptions instead of rebuilding every SKU analysis.
See it in your demand
What is already changing inside your demand?
Bring a category, SKU group or planning workflow. See how Grabb identifies the changes that deserve attention and prepares the next decision.
Questions about demand planning
How does Grabb forecast demand?
Grabb uses connected sales and order history, seasonality, sales velocity and customer purchasing patterns to model expected demand and identify deviations for review.
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?
No. Grabb is not a full APS or enterprise planning suite. It is Commerce Operations software with demand analysis and forecasting capabilities that work alongside your existing systems.
Does Grabb recommend replenishment actions?
Grabb prepares replenishment priorities from expected shortages, excess-stock risk and changing demand. Your team reviews the decision. Any automated purchasing step requires a supported, configured and authorized workflow.
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?
Demand analysis uses sales and order history from supported sources. Confirm data availability and sync frequency for your systems on the integrations page.