
Science
Larry uses machine learning to predict what will happen, optimisation to recommend what to do about it under your business rules, and feedback loops to learn from the results.
How Larry works: predict, optimise, learn
- Predict: models trained on your data plus external sources such as Australian Bureau of Statistics and Bureau of Meteorology data.
- Optimise: recommendations that respect your constraints, trade-offs and objectives.
- Learn, safely: performance monitored continuously to catch algorithmic bias and changing conditions.
- Data
- →
- Predict
- →
- Optimise
- →
- Recommend
- →
- Learn
Under the hood
By applying decades of research in automated data mining, analytics, and expert systems, Complexica has developed Larry, the Digital Analyst® – a cloud-based application that incorporates the latest advances from the field of Artificial Intelligence called Cognitive Analytics, and which is deployed through our Decision Cloud® software platform. In general terms, Cognitive Analytics refers to sophisticated algorithms that can manage and analyse big data sets to help organisations make better, faster decisions. Each day, enterprises collect or aggregate vast amounts of data from very diverse sources and want to analyse these data sets to gain specific insights – for example, to understand how different customer segments respond to different product and service offers, how customer preferences change over time, how customer loyalty is generated and maintained, how promotional campaigns impact volume, margin, and product cannibalisation, and so on. The accuracy of such insights can provide a competitive edge.
Based on Cognitive Analytics, the primary task of Larry, the Digital Analyst® is to manage the interaction with internal data warehouses and external data sets, and to automate the associated data loading, handling, and analytical processes that lead to optimal decisions. Larry consists of a collection of machine-learning algorithms (e.g. Bayes nets, artificial neural networks, rough sets, classifier systems, support-vector machines, decision trees, genetic algorithms) that are used for various data mining problems and advanced analytics.
Larry, the Digital Analyst® is deployed through our Decision Cloud® software platform, which addresses a variety of problem domains, such as:
- Promotional planning & optimisation
- Trade promotion management & optimisation (TPM & TPO)
- Demand planning & forecasting
- Inventory & replenishment optimisation
- Integrated planning, scheduling & optimisation
- What-if simulation
- Dynamic pricing
- Intelligent quoting & ordering
- Sales enablement & call-cycle optimisation
- Cross-selling & up-selling
- Predictive customer churn
- Personalisation
Because most companies maintain large data warehouses on what their customers bought and when, it’s possible to apply Larry to these problem domains to automate the data analysis process and generate actionable recommendations and optimised decisions that create value.
Learn more
Complexica Chief Scientist named winner of 2018 Science Excellence Awards
Contact
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