Mathific Labs – Optimization & Operations Research (OR)

Optimization, Algorithm, Consulting

If,

You have a business problem which requires keeping track of multiple interactions, decisions & outcomes.

You require the ability to rapidly calculate through huge number of possible solutions.

If you wish to improve business decisions which involve a complex & interconnected set of factors & constraints.

Then

You need mathematical optimization.
Mathematical optimization helps to make the best possible decisions on how to deploy your resources in order to maximize your efficiency and unlock profitability, new opportunities & growth.
Everyone has to provide products or services & create profitability under a set of constrained resources.
We use problem-solving and decision-making techniques coupled with technology and create a scientific and programmable algorithm for achieving business objectives.

What is it:

Our “Optimization, Algorithm & Consulting” services consist mainly, of

A: Operations Research : optimizing output by improving efficiency in the use of resources, while taking care of constraints.

B: Decision Science : the real-life application arising from convergence of ‘Data-Science’, ‘Operations Research’, ‘AI-ML’ (artificial intelligence & machine learning), ‘Behavioural Science’, ‘Empirical Evidence’, ‘Heuristics’, ‘Domain-specific knowledge’ & ‘Risk’.

C: focused, analytical, and quantitative approach.

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Optimization & its applications

Helps : make informed decisions.
Improves : Systems & Processes.
Creates : A well-organized business plan.
Achieves: Definitive targets.
To identify values, uncertainties and other issues in taking a decision, given choices.
To assess & compare value creation potential.
To focus on the deliverable, optimize resource allocation while satisfying given constraints & controlling risk.
To build a method for tracking & adapting to changes in market conditions.
To track & improve the efficacy of implemented plans.
To create a granular or segmented look at the entire business process.
By designing methods for management of systems, resources, production, distribution, sales & marketing, financial risk.