Whitepaper on benchmarking Out-of-Shelf monitoring apps

Published on by Joannes Vermorel.

Testing and benchmarking of competing OOS (out-of-shelf) monitoring systems is an important step in quantifying the value of such systems for a retailer, and in identifying the most suitable vendor. After introducing the OOS domain in a first whitepaper, we take a closer look at how to best setup a trial and benchmark of competing OOS monitoring systems.

Cover of the OOS whitepaper by LokadBenchmarking OOS systems is fairly straightforward, provided that the test is carefully planned. The good news is that key performance characteristics – precision and sensitivity – can be quantified in a test, which leads to objective benchmark results and a fair comparison of system performance.

Our whitepaper on benchmarking OOS monitoring systems covers among other topics

  • Benchmark critera
  • Methodologies for making OOS monitoring systems comparable
  • Quantification of system profibability
  • Project phases and execution

Are we missing some interesting aspects of testing these systems? or do you have experience with OOS monitoring systems in operation you want to share? Please let us know in the comments.

Categories: on shelf availability Tags: oos shelfcheck whitepaper No Comments

Running a very large retail network on a smartphone

Published on by Joannes Vermorel.

Processing a large retail network on a smartphone, by Lokad Long before ‘big data’ became the technology buzzword of 2012, retail networks have been among the pioneers in dealing with the large amounts of data that is produced by their supply chain and their point of sale systems. Recognizing the richness and immense value of their data, heavy IT infrastructure investments have, in many cases, been made.

However, to date, the limitations and cost of the required infrastructure has left the reality far behind ambition and promise. This is particularly true for the richest retail data source, which also dwarfs all others in size: receipts generated by point of sale systems. Collecting and processing receipts of hundreds or even thousands of stores has remained a daunting, and very expensive, task.

What about running a large retail network on a smartphone instead?

While this question is provocative both from a technical and commercial point of view, we explain in this whitepaper how fundamental operations such as collecting and processing receipts for retail networks of up to 1000 stores can be done on a smartphone. The source code used by Lokad to produce the results exposed in this white paper has been made available as open source under a very liberal license (BSD) on GitHub.

By sharing some insights on big data for retail, we hope to further fuel the advance in retail data exploitation. Any feedback will be appreciated, don't hesitate to contact us.

Categories: community, retail Tags: opensource retail whitepaper No Comments