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Operations Planning

Get Accurate, Demand-Driven Forecasts with JustEnough Demand Forecasting

JustEnough Demand Forecasting automates the production of your forecasts – accommodating everything from erratic products to seasonal variations and trends. With smarter forecasts that represent true demand, you’ll avoid poor forecasting outcomes like overstocks, product obsolescence and lost sales.

Forecast Tournament
Forecast Tournament

JustEnough Demand Forecasting uses sophisticated and proprietary modeling algorithms to generate a forecast that’s based on true demand history. You don’t have to decide which forecasting algorithm will be the most accurate – JustEnough does that for you by automatically running a Tournament of Best Fit.

In the tournament, 14 world-class forecasting methods compete against each other to determine which method should be used for a particular product. Each model is back-casted and compared against actual demand, which is computed by the Forecast Method Fit – a measure of forecast accuracy using Mean Absolute Percent Error (MAPE). The model with the best method fit wins and is used to forecast.

Trend & Seasonality
Trend & Seasonality

JustEnough Demand Forecasting keeps up with trends and seasonality by running the same powerful forecasting methods used by world’s biggest brands. Seasonality captures the year-over-year recurring pattern that’s typically visible in either weekly or monthly periods. Trends are calculated by removing recurrent and periodic variations. This way, you won’t misinterpret seasonal variations as growth or decay.

Lost Sales
Lost Sales

For the most effective demand forecasting you need true demand history, not just sales history. JustEnough provides this critical piece by identifying periods of insufficient stock, which are then used to calculate lost sales. You'll get the full picture of what sales might have been, had there been enough of the products in stock that your customers wanted.

Supersessions
Supersessions

When you launch a new product, Supersessions become vital to having the right amount of product in your stores or warehouses. They help generate a forecast for an item that would otherwise have no sales history. All you have to do is link new products to the sales history of similar existing products. Supersessions improve accuracy in your forecasts and can even capture seasonality for an item that has insufficient sales history.

Promotions
Promotions

Promotion planning is quick and simple in JustEnough Demand Forecasting. Once you create a promotion type and link it to an item, it’s a simple matter of flagging those historical periods where the promotion occurred. JustEnough then captures the promotional lift impact and automatically adjusts the forecast for those future periods where you plan to run the promotion again.

Manual Adjustments
Manual Adjustments

The science of demand forecasting isn't all-knowing. Sometimes you have "insider" knowledge the system doesn't, such as an upcoming price change, a past one-time promotion or a future business expansion. JustEnough lets you make manual history and forecast adjustments for situations like this. You can also override information, even to follow a hunch. After all, you're the industry expert.

Contact us for Plans & Pricing
Demand Forecasting

Get accurate, demand-driven forecasts
covering:

  • Forecast Tournament
  • Trend & Seasonality
  • Lost Sales
  • Supersessions
  • Promotions
  • Manual Adjustments
Learn more about Demand Forecasting
Inventory Planning

Ensure your products are at the right
store at the right time:

  • Inventory Policy Management
  • Service-Level Targeting
  • ABC Classifications
  • Inventory-Level Projection
Learn more about Inventory Planning
Order Planning & Replenishment

Manage what's on your shelves with
automatic replenishment, including:

  • Drop Ship Planning
  • Constraint-Based Purchase Orders
  • Exception-Based Order Review
  • Supplier Price/Discount Breaks
  • Multi-Vendor Sourcing
  • Inventory Dashboard
Learn more about Order Planning and Replenishment