Case Studies

Our Success Stories

1. Quantum Data Integration for a Leading Fast-Food Company

Objective

Integrate and structure data lake for easy analysis and automatic data updates.

Outcome

Enabled the company to quickly model impact of various macroeconomic factors such as inflation, interest rates, unemployment, and mobility on on various business elements
Realtime dashboard is used for weekly executive summary by C-Suite

2. Category and Brand Forecast for a Leading CPG Company

Objective

Increase accuracy of sales forecasts, identify drivers behind forecasts, and optimize Sales & Operations Planning (S&OP).

Results

Provided objective sales forecasts with an average accuracy of 95%, reduced time spent on forecasting and S&OP planning, and enabled quick adaptation to environmental changes.

3. Media Optimization for a Leading CPG Company

Objective

Analyze sales drivers, quantify media contribution, and optimize media spend.

Results

Achieved an objective view on media contribution and ROI, resulting in a 15% uplift in sales due to media optimization across channels.

4. Pricing Optimization for a Leading CPG Company

Objective

Analyze the impact of price on sales and identify optimal price/volume points.

Results

Gained insights into the impact of price and optimal price points, with ongoing tests to define the impact on sales.
Drove 5% sales increase with pricing optimization

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5. Coking Coal and Steel price Forecast for a Leading Steel Manufacturer

Objective

Forecast commodity prices using market drivers to optimize purchase decisions.

Results:

Insight into what drives coking coal/and steel prices helped the company save 9% ($42 Million) in sourcing costs by trading based on objective forecasts.

6. Cocoa Price Forecasts for leading Chocolate Company

Objective

Forecast cocoa futures to optimize purchase decisions.

Results

Insights into price drivers led to significant savings (5-7%) in procurement costs of cocoa, a critical ingredient in chocolate manufacturing

7. Commodity Forecast (Proteins, Agri, Hard, Soft Commodities) - Several customers

Objective

Forecast commodity prices to optimize purchase decisions.

Results

Advanced trading strategies led to an average of 7-9% savings in procurement costs, translating to several million dollars in most cases

8. Marketing Personalization Engine for leading QSR

Objective

Improve personalized marketing to increase incremental sales.

Results

Insights into customer preferences strengthened loyalty
Increased engagement
Significant incremental sales: $70Million, +8%

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9. Predictive Supplier Insights for a Leading CPG Company

Objective

Measure and mitigate external/internal risk of vendors in supply chain.

Results

Developed a risk and impact assessment framework, leading to significant savings by reducing quality incidents and logistical issues.

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10. Quantum ML Powering Analytics at the CME and NSE/Cogencis

Objective

Enable advanced traders in leading financial institutions with ability to forecast and predict market moves using machine learning as a service

Results

Cloud based subscription service successfully deployed via the Chicago Mercantile Exchange (CME) and National Stock Exchange (NSE)

Solution offered to leading traders and quantitative analysts at major investment banks and commodity trading houses

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Quantum Data technoloGIES

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