A more comprehensive and accurate view of the customer behaviour coupled with advanced analytics can enable personalised service delivery and the operational efficiency to drive profitable growth.
The retail sector is facing the challenge of dealing with savvy and more informed customers with rising service expectations across multiple channels. Working within their permissions and preferences is vital. Putting your data to work can deliver a reduction in customer acquisition cost and customer churn, whilst creating more cross selling opportunities for a greater share of wallet.
From an operational perspective better data and predictive analytics can help with the on-going juggle of supply and demand, yield improved inventory management and more efficient management of troublesome returns.
Read our Retail Fact Sheet
Read our Retail White Paper - Regaining Loyalty in Retail
Data Use Cases in Retail & Consumer Goods
Customer Personalisation
Customer data is one of your most valuable assets. Personalise offerings around groups of customers who share meaningful demographics, purchases, loyalty etc.
Reduce Customer Churn
Identify, predict and prevent customers with a high propensity to churn
Intelligent Demand Forecasting and Stock Optimisation
Optimise demand and sales of products by automatically maintaining optimum product prices, as well as predict and void costly stock outs. Reduce your sales forecast errors uncovering the hidden drivers of category and customer demand. Forecast with more confidence using intelligent retail technology.
Intelligent Supply Chain Management
Use intelligent logistics and supply chain management processes to get the right product, at the right price, to the right customer, at the right time. From product procurement and inbound inventory to last-mile delivery. Collecting and inserting data end to end will enable you to identify opportunities and gain speed-to-market.
An iconic online fashion retailer boosts retail analytics capability with new tools for Azure SQL Data Warehouse
This retailer was operating an on-premises data warehouse, but as the company grew, the data warehouse was reaching its limits. A strategic move to Azure was already underway and Adatis worked with the retailer to provide tools for Azure SQL Data Warehouse that enable the retailer’s developers to get datasets ready for analysis in a matter of days.
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White Paper: Regaining Loyalty in Retail
After several years of falling profits and high profile store closures, channel shift is still proving a difficult challenge for physical retail – and that’s reflected in the almost 51,000 shops that stand empty across the UK’s high streets. As customers go in search of wider product ranges at lower prices and easier shopping experiences, they’re increasingly finding that online retail is the most reliable source.
To regain loyalty, retailers must get smarter with their data.
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The Adatis Approach: Retail
Retail is experiencing some tough times, particularly on the high street. Sky-high consumer expectations, rising costs, cautious spending and intense competition from online-only brands mean retailers can’t afford to continue with ‘business as usual’.
Both online and offline, retail brands must take a close look at their operations and their customers, and find ways to stay relevant, desirable and profitable.
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Power BI Weekly Retail Analysis
Power BI can provide huge benefits to retail organisations through it’s ability to embed reports directly into your organisation’s applications and web pages.
As you can see through the embedded report, Adatis has modelled the data appropriately for reporting purposes and transformed it into interactive, actionable visualisation that allows the organisation to discover the relevant insight for answering all necessary questions.
At a glance, it offers decision-makers an understanding of their low performing KPI’s and through its interactive elements offers the ability to identify the route cause for taking action.
Latest Posts
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