Early Warning Signals :
Probabilities for Proactive Actions
A hard Data and Evidence based behaviour probability that helps you generate a KPI, which can guide mitigation strategies for a particular Economic situation. One simple number to tell you the direction in which things are moving.
Need to pin point specific, lists of customers/business partners/collaborators, which could indicate potential disruption or inability to meet business scenarios.
Data Driven Signals that help you plan your Tactical and Operational Strategy. E.g. Will my Credit card customers attrite at some point of time ? Can my KPI tell me a probability or us meeting the target ?
Dynamic Customer Centric Strategies:
Cost To Serve vs. Actual Service Level Trade offs
Simulate to tweak your Service or Product Value chain, in response to customer needs and requirements, and immediate demand ramp ups, while keeping in view the overall channel and service chain costs and constraints.
Visualize cost vs. Service level Trade off’s to dynamically respond to customer requests. Increase customer loyalty and maintain service level fulfilments.
Create a win-win situation for both the supplier and the customer, or any number of business collaborators in the Value Chain – Scientifically offered discounts and trade-offs.
Maximize your Throughput :
Get the most of the Agility of your Supply Chains
Can I have a Dynamic Sense and Response system, that looks at my sales or stocking signals continuously and helps me align and re-align my stocks or services in the pipeline.
I want to leverage the agility of my Supply Chain to dynamically stock/replenish and/or other Supply Chain alignment strategies be driven by data.
A Data Driven Algorithm, which leverages network Algorithms, to provide your Supply Chain with the necessary agility, so that you may move with your market and production constraints. The throughput technique to make the most of you manufacturing network.
Service Reliability and Operations Management:
Promise Optimal Service and Warranty Liabilities
How do you manage the trade off between overall Service Reliability and channel costs/costs of stocking, costs of production and liability. How do you manage Inventory Risk and Liability, given a certain level of service/warranty level that you may have already promised to your customers.
Any Inventory Risk and Liability Management that could arise, while wanting to maintain desired customer service levels, with continuing focus on constraints of Inventory, stocking or capacity.
A scientific technique, that learns from your own Data and regularly provides you with a scientific base to design your warranty contracts as well as manage ongoing warranty and Inventory liability.
M76 Analytics was founded by IITB (IIT Bombay) alumni who saw the utility of data far beyond its transactional manifestation. Data to M76 is much more than transactions, it is a fact with many dimensions. Big Data was always about the right data and the right decision models. Big Data unfortunately for most today means a massive sized text analytics or a business agnostic deployment on a huge platform, the correlations derived where may have no business significance.