Copper Mining and Processing
Integrated Business Planning
An Integrated Business Planning model combining operational drivers across the Copper mining and processing value streams with site- and macro-level financial drivers to yield a financial forecast and . This allowed for production planning, bottleneck analysis and studies on business case and capital investment profitability.
This solution provided the bank with an intimate understanding of their key drivers of financial performance and the impact a change on any of these key drivers would have on their future through comprehensive scenario planning. It then used this information to ensure the bank would remain compliant and continue to adhere to regulations in an ever-changing environment.
Multi-commodity Mining Group
Group Integrated Planning
A fully integrated model including stochastic analysis, that provides an understanding of group risk exposure by using the variability in key drivers to calculate a confidence in achieving the Business Plan at Business Unit and Group level. This facilitated meaningful communication to shareholders and market analysts, providing assurance of the likelihood of meeting targets and exposure to key risks.
Platinum Mining and Processing
Strategic Portfolio Planning
A portfolio optimisation solution that modelled the production and economics of a portfolio of mining assets and the processing value chain, from mine to market, for a major Platinum operator. This provided an enhanced decision support capability through rapid scenario generation by allowing flexing of underlying operational driver, commercial contracts and macro-economics.
Capital Portfolio Optimisation
A capital allocation decision support solution was built to allow for capital projects across different business units to objectively compete for capital based on liquidity and operational constraints. An optimization simulation provided the top portfolio configurations given the strategic focus criteria.
Commodity Supply Demand Modelling
Cost models that estimate historical and forecasted future production, cost, and emissions data for all the major assets in the world for a given commodity. This allows clients to analyze market supply, demand, pricing and make asset valuations.
In-Shift Production Optimisation
Developed and deployed a solution for a gold miner to use to optimise gold production in the event of unplanned stoppages in the plant. The tool utilises real-time data to determine the optimal set points to run the plant at, factoring in the various operational and metallurgical constraints.
Plant Design Validation
Configured a model to dynamically simulate the flow of material, in detail, through the modules for a new lithium plant. The model was designed to identify any systemic issues within the plant layout, specifically within the realm of buffer sizing and equipment utilisation.
Working Capital Prediction Model
Configured a model to dynamically simulate the flow of concentrate from the client’s mines in Western Australia, through to the processing plants in China factoring in the multiple modes of transport along the way. The model determined the working capital requirements across the value chain.
Tactical Planning Models
Developed a set of value stream and value driver tree models for various mines for a mining client. These models were designed to identify system bottlenecks, determine system throughput, and test various ‘What-if’ scenarios as part of the business improvement processes for the client.
Integrated Planning Logistics Model
Implemented a predictive simulation model that determined the logistics requirements for a copper smelter every week. The simulation integrated production plans and maintenance schedules at the smelter with arrival and departure times for the vessels at the port to work out the road and rail logistics requirements.
Using subscriber behavioral and transactional data, prepaid customers were segmented, and targeted with different insurance offerings based on the highest probability of conversion. Additionally, usage data helped optimize contactability rates and drive better conversions.
Channel Incentive Structure Modelling
Introduced a Smart Commissions framework to address prepaid rotational churn supported by a commercial model to simulate different incentive structures for channel partners. Commissions inefficiencies were resolved through redefined performance measures & targets, which resulted in a decrease in churn.
Revenue Forecasting & Diagnostics
A mathematical driver-based model of the finance process was built. This allowed for improved forecasts through driver-based machine-learning & diagnostics by tracking shifts in drivers & quantifying the resultant impact, for proactive interventions across hospitals, funders, disciplines and doctors.
Outbreak Detection and Alerting
Improve the ability to promptly detect outbreaks by providing the infection control teams with an automated outbreak detection solution for hospitals and wards, while also providing a better understanding of the leading contributors to infectious outbreaks.
Stock-out Prediction Models
Machine-learning forecast to provide retailer with weekly product predictions across relevant SKU’s reducing the probability of stock-outs. The end-to-end process of data sourcing, integration, processing, model training & deployment into a production environment, serves 10 000 stores
Early Warning Prediction System
Effective and swift responses to competitor promotional activity by identifying anomalous transactional behaviour in sales volumes, pricing & emerging SKUs at a localised level. Automated reports are distributed to operational teams to proactively combat high risk competitor activity.
Customer Segmentation & Lifecycle Management
Detailed segmentation modelling to support lifecycle management, hyper-personalization and loyalty. Using the segment profiles and attributes, detailed engagement strategies were formulated and executed.
Product Recommendation Engine
Simulating, forecasting & re-rating subscriber spend and usage behavior over 24 months to proactively recommend appropriate tariffs at contract renewal stage.
Launch of Enterprise Product Portfolio
Helped launch a portfolio of enterprise tariffs targeted at different customer segments and verticals. This included commercial modelling, forecasting & simulation to determine optimal pricing & proposition design, to drive adoption and mitigate cannibalization from existing consumer offerings.
Lead Allocation & Conversion Optimization Engine
Profiled and scored incoming calls to determine the optimal agent profile to service the lead who would have a higher likelihood to improve closing rates and overall effectiveness.
Customer Insights, Modelling & Reporting
Consolidated data sources, cleaned and enriched data fields with text mining algorithms. The data was then profiled and statistically analysed to extract key insights and trends on acquisition, churn, product affinity and market penetration
Developed a dynamic visit allocation solution, which prioritises visits based on localised needs of customers across a variety of strategic KPI’s. Subsequently created a route scheduling optimization model to minimize travel duration and visit days and provide weekly visit schedules to the salesforce.
Product Pricing & Proposition
Pricing analytics and commercial modelling to develop two innovative propositions for Standard Bank Retail including proposition design, customer testing / validation and reporting.
Segmentation & Embedded App Analytics
Blend digital banking behaviour with transactional and customer information to improve customer engagement within the digital mobile banking application.
Consumer Product & Services Chatbot
A customer-facing concierge chatbot on homepage, aimed at assisting users to find the information they are looking for as quickly as possible. The solution aims to improve conversion by reducing drop-off of potential customers.
Collections Optimization Engine
Built a collections optimization engine using machine learning to predict the likelihood of collection for a set amount on a specific date whilst minimizing collection costs.
Centralised Infrastructure Logging Solution
Developed a centralised logging solution using the ELK (Elasticsearch, Logstash, Kibana) stack to automatically process, analyse and visualize log files, in order to diagnose infrastructure issues more efficiently and improve MTTR.
Investment Management Platform
A platform to facilitate a more efficient and effective way to raise investments and capital for Green real estate globally, using a full transactional system and blockchain for increased transparency and auditability.