Retail

Maintaining a Competitive Advantage

The Retail industry is driven by information, and the current disruptions to the industry have never been greater. This plus interesting innovations in online and instant shopping like home delivery scenarios, click and collect, and try before you buy scenarios have all allowed retailers to expand their marketing strategies to include new channels, targets and drop-shipping suppliers.

Those retailers who are doing well in the current environment are using data analytics to drive their strategic growth planning, and to effectively motivate and monitor operational performance management. The internet is awash with new integrated technology which is giving those companies who invest heavily in their transformation a competitive advantage. This is primarily due to their now deeper understanding of their market and their demand.

Retail data analytics can also be used to improve efficiencies in daily operations, which directly affects their costs, market position and bottom line.

Advanced analytics and machine learning will enable you to predict the future, giving you a real opportunity to follow customer behavioural insights to find better sales margins and demand levers.

Customer Engagement Assessment

Using analytics to identify customers who are most likely to spend more at your stores.

Share of Wallet

Identify your most prosperous customers and uncover where market share is being lost, to whom and why.

Customer Churn Prediction

Churn is the enemy of every retailer. Build models to identify those customers most likely to disappear and action pre-emptive intervention.

Fraud Analytics

Identify common sources of fraud by locating unusual patterns in your analytics.

Recruitment Analytics

Use advanced scoring to objectively rate candidates on desired attributes to encourage higher performance, tenure and reduce hiring costs.

Retention Risk Analytics

Build a proactive retention strategy by predicting those employees most likely to leave, identify seasonal patterns and risk factors.

Workforce Safety Analytics

Detect and analyse underlying causes and factors that contribute to workplace accidents. Improve safety response and prevent costly workplace accidents.

Use workforce analytics solutions to match employee resources with demand, increase sales and productivity, improve customer service, minimise overtime costs, and plan better to violate fewer labour laws.

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