Retail Analytics

Maximise profits by optimising the smallest details
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Maximise margin on Customer Insight

The retail industry is intensely competitive and operates on the tightest of margins. Even small improvements can have a significant impact on the bottom line. We leverage the power of data and analytics to uncover insights and opportunities that can make a real difference.

We have extensive experience designing, building, analysing and reporting on retail data to optimise business performance. Through best practice data integration, we are able to blend all forms of data – both structured and unstructured – from traditional data warehouses, Big Data platforms, and internal and external sources. This enables us to identify trends across stores, products, price, customer segments and many other variables.

We offer a prebuilt solution for retailers that are getting started in analytics and want to see value quickly. Our solution can be deployed as a managed cloud solution which means you can focus on your business while we take care of the analysis and reporting. Our Advanced Analytics team can also work directly with retailers to craft bespoke solutions.

We are already helping one of Australia’s biggest retailers do more with their data. We can help you too.

Precision targeting

Loyalty programmes, preference for cashless transactions, rich digital shopping experiences, and digital advertising have all contributed significantly to the abundance of data available to retailers to improve their customer experiences, operational performance, and profitability.

We collect data from every customer touch point and find clarity in the total customer experience.

We can provide a 360-degree view of your customers from a broad range of social, transactional and customer data. A better understanding of customer preference, behaviour and values allows you to deepen and broaden customer engagement through personalisation of services and consistent interactions.

Actionable insight

With leading machine learning techiniques and high performance analytics, we can process retail point of sale transactional data with the highest level of sophistication.

Blending data across retail departments reveals rich consumer preference and universal business insights relating to individual SKUs and promotional activities.

We can make these insights readily available on easy-to-use dashboards, as well as mobile devices to empower store managers and staff with timely and actionable information.

Retailer Analytics: Capabilities

Our Advanced Analytics team has extensive experience turning retail data into rich insights about customers, stores and baskets; enabling personalisation, demand forecasting and world-class business optimisation.

 

Our core competencies include:

 

Loyalty analyticsRetailer rewards programs can provide deep insight into customers and their purchasing behaviour. We can help you collect and analyse customer data, drive customer retention, enable real-time promotions, and measure lifetime customer value across different customer segments.

Customer profiling and segmentation: Gain a 360-degree view of customers from a broad range of social, transactional and customer data to better understand customer preference, behaviour and values. Then deepen and broaden customer engagement through personalisation of services and consistent interactions.

Promotional effectiveness: Optimise advertising and promotional spend by incorporating and managing feeds from social networks, national census and customer demographic data. We can ensure product offers and promotions are real-time and relevant. Store and retail performance can be understood relative to surrounding market forces.

Stock and Inventory Optimisation: True stock keeping unit (SKU) understanding is gained by our approach of combining multiple advanced analytics outcomes, including basket analysis, demand forecasting, assortment analysis, price elasticity and customer preferences. We can improve understanding of the inter-relationships between products – cannibalisation and halo effects. We also help achieve stock mark-down and waste optimisation.

Product (SKU) insights and demand forecasting: With advanced data science techniques, we can accurately predict future sales, develop more promotional strategies and help ensure ongoing viability. Modelling inputs such as price and marketing invesment provide rich insights surrounding their influence upon demand. Clear metrics for ‘return on marketing investment. (ROMI) can also be delivered.

Basket Analysis and ‘next best offer’: Determine the best assortment of products for individuals. Proactively suggesting next best products and alternatives for out of stock items.

Social and demographic relevance: By managing feeds from social networks combined with demographic data, we can ensure promotions are relevant to surrounding market forces.

Workforce management: Reduce staffing costs and improve customer satisfaction by ensuring the right people are in the right place at the right time.

Retail Analytics Case Studies

Let’s talk.

 

[email protected]

Sydney: +61 2 9299 4430

Melbourne: +61 3 8605 4880

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Not based in Australia? Our team in the UK or the US would be happy to help.

Do more with your data

Download our capabilities brochure to find out what we can do with your data.
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