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.

CASE STUDY

clothes folded up on a shelf

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

a high street of shops

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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FACT SHEET

a rail full of clothes in a retail store

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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Find out how Adatis can help the Retail Sector.

If you’d like to know more and how to get started please give us a call on

+44 (0)203 696 9120 or send us a message