Blind
forecast
- Fast fashion with short time-to-market
- Forecast before pre-orders
- Budget and top/flop curve based
- User panel ranks the collection
- Combines statistics with expert knowledge
- Cleanup of the collection
- Improves early forecast accuracy up to 50%
Season
collection
forecast
- Collections contain new seasonal items
- No sales yet on new style/colors, statistical algorithms do not work
- Unique A3-algorithm using actual buying behavior
- Accurate forecast during sell-in
- Evaluates returning, new and lost customers
- Ability to forecast different account types and channels
Core collection
forecast
- Uses historic sales data: wholesale orders or POS
- Automatic recognition of sales pattern and seasonality
- Suggests 'best fit' algorithm and possibility for 'what-if' review
- Management by exception for large assortments
- Forecast in multiple dimensions: units, value, volume or weight
- Supports new product forecasting and expiring products
- Seasonality recognition ensures optimal availability throughout the year
Dynamic
size split
- Per style/color
- Separate size split of pre-order, re-order and total-order
- Rolling analysis of demand per SKU
- Optimal size split per article group
- Easy assignment of size split for new products
- Different size splits for different channels
Buying &
replenishment
- Automatic integration of all relevant data: forecast, stock, purchases, sales and deliveries
- Dynamic safety stock based on forecast accuracy, service level and replenishment time
- Automatic purchase advise takes into account supplier, lead time and logistic constraints
- Optimal product availability on size level against lowest cost
- More service + less stock = more profit
