SO99+ user day - 27 February 2019





    Registration /coffee/ pastries

    10.30 - 11.30


    Seasonality and Daily Profile Clustering – with Cortana AI

    Product classification and attributes are not sufficiently defined or maintained leading to poorly defined groupings resulting artificially estimate of demand variability or manual corrective actions. Seasonality and Daily Profile clustering allows the automatic creation of the profile groups, by aggregating together time series with similar seasonal behaviour.

    Learn how SO99+ can help calculate, classify and apply seasonal and daily profiles and improve your forecasting.

    11.30 - 11.45

    Tea/Coffee Break

    11.45 -12.45

    Forecasting Algorithm Auto-adaptive features

    A single product shows different behaviour by demand stream e.g. wholesale vs retail outlet. SO99+ Auto-adaptive technology now allows you to determine the most appropriate forecasting method in each Sales Area.

    Review our examples and learn how and when to apply SO99+ Auto-adaptive to your business.

    13.00 – 14:45

    Networking Lunch at local restaurant, Pantani. 

    14.45  - 15.30

    Lost Sales Analysis

    Lack of stock impacts some or all of the demand observed at a particular location. SO99+ Lost Sales Analysis is designed to manage forecasts where demand is impacted by the on-hand stock.

    Learn how SO99+ can be used to calculate and apply lost demand where it is needed, maintaining forecast levels and providing useful management information.

    15.30 - 17.00

    Q& A's / Afternoon Surgery

    Topics for further discussion will include:

    • Forecasting setup and inventory optimisation for slow moving and erratic products
    • Best practice for management of slow moving forecasts
    • Best practise for segmenting products to improve service & inventory trade off
    • Feeding output from SO99+ to other planning systems – what do people use & how?
    • Exception management and alerts 

    Download our Costa Express case study


    Event Details

    27 Feb 19

    9.30 - 17.00

    Henry Wood House, 2 Riding House Street, London, W1W 7FA


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