WHAT WE DO

We Sell Cash

We Identify and Implement Rapidly Cash Liberation Opportunities (CLO)

To-Do So, We Use:

Proprietary Machine Learning Libraries
Advanced Financial Modeling
Fast Cash Generation Techniques
Emotional Support Procedures

Cognitive Financial Optimization (CFO):

Our Proprietary Corpus of Philosophies, Methodologies, Techniques, Algorithms, and Machine Learning Libraries.

Why We Do What We Do:

We Believe That Protecting Jobs Is Crucial For The Humankind, BOTH in the Personal Growth, and in the Income Generation Areas.

How We Do What We Believe

We protect jobs by enabling companies to optimize the Cash they use to perform their activities: “The Best Performance Possible With The Lowest Cash Possible”.

Multidimensional Service

We give our clients the best Ultra-Personalized services by supporting them emotionally and leveraging our Openpreneurial Proprietary Methodologies, Platforms, and Proprietary Machine Learning Libraries.

Our Clients

Our Team

Our Experience

206

Projects Completed

108

Clients

Offices

Projects

$ 4 Billion

Fresh Cash

Generated

8

Countries

Services

Use Case

CLIENT: One of the largest copper mines in the world

RESULT: We generated $ 20 million in savings in 12 weeks in strategic and transactional spend categories

CHALLENGES:

China’s decrease in its growth rate triggered a sharp reduction in copper prices
Rigid long run contracts with suppliers, equipment leasers, and financial institutions
Strong syndicates with restrictive legislation
In the mining industry, negotiation processes are traditionally long

We tackled over USD $150 million in spend: Including 2 mining sites, a smelter and supply chain / administrative offices

Overall savings of 13% realized in 12 only weeks

Savings of 19% in strategic categories and 7% in transactional categories

Spend Areas Included:

Exploration / Geology
Smelting
Processing Plant
Inbound and Outbound Trucking
Support Services

We Identified and Negotiated with:

Local Suppliers (in-country)
Regional Suppliers (on a continent-wide basis)
Global Suppliers in the case of reagents (chemicals)

All categories were implemented including adjustments to processes to ensure long term sustainability

Formal training for key users including the purchasing department

Cognitive Supply Chain Optimization
Working Capital
Clean Sheet Budgeting: OPEX
Organizational Efficiency

Cognitive Tail Spend Sourcing

Fresh liquidity started to be generated in only 4 weeks
All relevant suppliers were covered within 10 weeks
$ 5.2 million in savings generated

COGNITIVE SUPPLY CHAIN MANAGEMENT

Cognitive Supply Chain Optimization

Cognitive Tail Spend Sourcing generates savings between 7% - 12% with the first savings captured in 4-6 weeks; typically we’re able to negotiate with all suppliers in an 8-12-week timeframe

Data-Driven Supplier Categorization Method (DSCM):

K-Means Subspace Clustering Algorithm: By categorizing suppliers on behavior rather than classification, we optimize the negotiation process and maximize the fresh cash generation. Suppliers’ Business Behaviors:

Set of Items Provided in Each Time Period
The quantity of each item in each order
The Orders Frequency
Product Quality
Product Arrival Time

All the clustering is concatenated with a Financial Optimization Model, thus determining the supplier groups that maximize the generation of fresh cash and the ease of negotiation.

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Contract and Invoices Optimization Intelligence:

We Maximize the Price Reduction by:

Creating a Data Corpus from all the invoices and contracts from any source (PDF, email, image, physical)
Detecting Anomalies in all the contracts and invoices
Optimizing the Negotiation Process relative to the negotiation expense for each supplier category