Filtering by Tag: events
Last week, we had the chance to speak to an audience of roughly 3000 people attending the Machine Learning and Big Data keynote at the Microsoft TechDays 2013 in Paris. A special thanks to Bernard Ourghanlian for making this possible.
Our client, Pierre-Noel Luiggi (Founder and CEO of Oscaro) was also present - and a formidable support.
For those who could not attend the event, check the video of the session (15min, in French).
The 2012 Data Days are taking shape, and we are looking forward to participating in the panel of speakers. With Big Data Intelligence experience in both eCommerce and physical retail, we have been invited to add a unique perspective through the knowledge of two very different worlds in terms of big data availability and exploitation to an otherwise rather eCommerce focused event.
In four tracks the topics of Data, Relevance, Innovation and Privacy will be discussed. On the second day, the Data Pioneers start-up competition is looking for creative and innovative data business ideas. The program is currently being finalized.
Are you coming to the event? Please connect with us prior to the event or simply grab us on the day. We are looking forward to seeing you in Berlin!
First of all best wishes for 2010. Lokad has been nicely growing and moving forward during 2009, we really hope to be able to move forward according to plans for 2010.
As a first token of goodwill, we have finally published the long missing User guide for Tags and Events.
Tags and Events are especially useful in retail and manufacturing to better handle promotion forecasts, but also product launches as well as all sort of factors that impact the business.
Forecasting is hard, even when a significant amount of historical data is available. When historical data is limited, forecasting is much harder. But then, what about forecasting when there is simply no historical data?
The no-data situation is more frequent that it looks: for every product launch, a company has to forecast future sales for the new product, while there are precisely no records for this product.
In practice, we have found that many companies - already using robust statistical tools to forecast their regular sales - just guesstimate when it comes to product launches (or one-shot promotions). We have also found that, in many situations, guesstimates are vastly inaccurate.
Obviously, if there is absolutely no historical data, then, indeed, statistical forecasting tools (such as Lokad) are powerless. Yet, in most companies, new products are launched on a regular basis, and this history of launches can be analyzed to figure out patterns of early sales.
Lokad takes advantage of historical product launches (when such data is available) to forecast the sales of a product even if there are no data yet for this particular product. Typically, we estimate that 20 product launches or so are needed to start learning launch patterns. In practice, there is no hard-coded lower limit on the number of product launches in our technology, but with less 20 launches, forecasts tend to become erratic.
In practice, you can use the Safety Stock Calculator to forecast product launches. Note that raw sales data is not enough in the case of product launches, tags and events are needed as well (well, at least tags or events):
- Tags should be provided in order to describe the product. Tags typically express similarities that exist between products (ex: color, size, category, product family, ...). Those tags are used by Lokad to match the new product with existing ones. Typically, a tag is a permanent descriptor of the product: it does not change over time.
- Events should be (eventually) provided to describe the launch operation itself. Events are just like tags, but positioned at a certain date. Events typically represent marketing operations that support the product launch. An event usually has a lifetime shorter than the product itself (otherwise it should be considered a tag).
The distinction between tags and events helps Lokad to figure the relative position of the product within the distribution channels of the company (tags), from the impact of the marketing operations themselves (events).
Still unsure how to proceed with your product launches? Don't hesitate to drop us questions in the forums.