AI powered supply and demand forecasting

Effective inventory planning for retail and supply chain

PredictDemand utilises machine learning and predictive modelling to forecast sales more accurately than any manual method.
Improved forecasting accuracy enables your business to plan better thereby reducing working capital and out-of-stock situations.
Stop relying on moving averages and gut-feel when you can utilise data and Artificial Intelligence to help you make better decisions.

UPGRADE YOUR BUSINESS

PredictDemand utilises machine learning and predictive modelling to forecast sales more accurately than any manual method. We extract insight by analysing stock, sales, promotions and other historical stock movement data, thereby enabling you to plan better, reduce working capital and increase sales.

How PredictDemand can benefit your business

Historical Data
Seasonality Sales
Promotional Sales
Future Dated Promotions
Patterns
Trends

Reduce working capital tied up in underperforming items

Increase sales by reducing stock-outs

Reduce logistic costs by having the right item, at the right time, in the right location

Increase on-time deliveries

Maximise Return On Investment (ROI)

Improve sales budgets accuracy

Use Cases

Marketing & Sales

Retail & Supply Chain

Travel & Booking

E-Commerce

Business Analytics Lifecycle

A business analytics lifecycle is a continuous process of learning and improvements. Together with your team, we help to define key business goals and measurements then utilise advanced analytics to help you achieve them.
The data modelling process goes through multiple phases. Each phase refines the data to ensure that the data is clean and well structured. Data is the fuel that powers machine learning and predictive modelling; therefore, data quality is the most important ingredient in any advanced analytics project.
Before the process of training and evaluating models can begin, data must be cleaned, merged and pre-processed. During this process, relevant features are extracted and created.
Once the model is evaluated and deployed, business processes and applications are connected to begin the value extraction process. The value extraction process typically generates new sources of data, which is fed back into the model to improve the efficiency and accuracy on an ongoing basis.
Our cross-functional teams of highly trained professionals will plug the models into your business and existing systems to minimise change management. PredictDemand presents you with actionable insights and addresses your demand and forecast challenges head-on.

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