- Improving a forecasting technology
- From Crps to Cross Entropy
- Deep Learning as 5th gen forecasting engine
- Periodic demand forecast
- Text mining for better demand forecasts
- Probabilistic demand forecasting for Fashion
- Fashion demand forecasting
- Probabilistic promotions forecasting
- Working with uncertain futures
- Forecasting 4.0 with Probabilistic Forecasts
- Price elasticity is a poor angle for looking at demand planning
- Streetlight effect and forecasting
- Forecasting the series of future orders to suppliers
- Forecasting 3.0 with Quantile Grids
- Top 10 Oddities in Demand Forecasting
- Top 10 lies of forecasting vendors
- Promotion planning in general merchandize retail - Optimization challenges
- Promotion planning in general merchandise retail – Process challenges
- Promotion planning in general merchandise retail – Data Challenges
- The best forecast error metric
- Spare Parts Inventory Management with Quantile Technology
- Quantiles = Inventory Optimization 2.0
- How much do you get for 1% extra accuracy?
- Seasonality illustrated
- Video: How the Forecasting Engine works?
- Weekly/Monthly aggregation is a lossy process
- Business is UP but forecasts are DOWN
- New Forecasting Technology FAQ
- Callcalc released, call volume forecasts in your mailbox
- Fallacies in data cleaning for (short-term) sales forecasts
- Java Forecasting SDK released
- Width vs. Depth, Rotate your sales forecasts by 90 degrees
- Forecast's species: classification vs. regression
- Measuring forecast accuracy
- Ask.Lokad and get answers
- Tags and Events user guide
- Where does Windows Azure folks get their inspiration?
- Unified pricing system
- Internet is needed for your forecasts
- What's your statistical model?
- What's wrong with promotion forecasts?
- Better product launch forecasts
- Favorite Forecasting Models
- Overfitting: when accuracy measure goes wrong
- Gentle introduction of Lokad: the slidecast
- Better promotion forecasts in retail
- Forecasting in .NET with the Lokad SDK 2.0
- Flat forecasts
- Forecasting API v2 - tags
- Forecasting API v2 - events
- Keeping track of errors to improve later on
- Unfortunate "period start" setting name
- Errors are part of the (web) service
- Prediction markets vs. Lokad
- Choosing the right forecast period
- Chinese food vs. Sports bar while forecasting sales
- The No1 never asked question about forecasting
- Perceived quality issues in forecasting
- Would you pay for moving average?
- NEW Excel Sales Forecasting v1.0 released
- Business forecasting and its practical application
- Selecting a forecasting method
- Workload Forecasting v1.0 released
- Issues in Technological Forecasting
- NEW Call Center inbound volume forecasting
- Forecasting for μCommerce?
- Top 8 reasons why sales forecasting don't work
- Want more accuracy? Start uploading now!
- Worlds of Forecasting Software
- Forecasting accuracy and data you don't have
- Demand Forecasting vs. Sales Forecasting
- Failing at forecasting Sin(x) and Cos(x)
- Notes about concurrent time-series (i.e. multi-parameters)
- Missing time-series vs. Empty time-series
- Do not make a sum with your forecasts