ark Lawrenson has graduated with honours in mathematical applications and computations from The Australian National University and was previously a researcher at CSIRO/Data61, the world's leading Australian research and data science agency. At HIVERY Mark is the product lead of HIVERY Curate - the world’s first truly hyper-local category management solution. Mark has several patents under his name and has published many research papers, namely "A model-based genetic algorithm framework for constrained optimization problems" where he presents a new hybrid optimization framework that can be used to solve constrained optimization problems differently. Listen to his podcast episode here: https://soundcloud.com/retail-mavericks/mark-lawrenson

1. Retail Mavericks Podcast
with Mark Lawrenson, Product Lead of
HIVERY Curate
DATA HAS A BETTER IDEA
5 key insights on
optimization methods

2. Commercial in confidence
In 1947, George B. Dantzig
independently developed general
linear programming formulation
to use for planning problems in
the US Air Force.
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3. Commercial in confidence
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Since, many different optimization
methods have emerged, including
complete methods, heuristic
methods, genetic algorithms and
integer linear programming.

4. Commercial in confidence © 2020 HIVERY | 4
optimization.
/äp-tə-mə-ˈzā-shən/ noun.
the selection of a best
element with regard to some
criterion from some set of
available alternatives.

5. Commercial in confidence
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These methods have previously
advanced the military to optimize
the distribution of weaponry.

6. Commercial in confidence
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Now, these methods are used by
commercial industries, even in
category management.

7. Commercial in confidence
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Now, you can ensure the right
products are in the right shelf
space at the right store with the
help of HIVERY Curate.

8. Tune in here.
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