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Retail2019-09-02T15:10:01+01:00

Zizo offer a range of big data analytics solutions for retail
off the shelf, or tailored to your business.

Want to know more about products & stores? Interested in where to invest to get the most for your money? Keen to find out who your best customers are? We can help!

To learn more about big data solutions we can offer for your retail business,  get in touch with us via our Contact Us page.

Staffing

Providing sales by hour, by day, by region, by store type enabling you to validate or challenge your staffing rotas. Maximising sales and minimising staffing costs. Adding valuable insights for your store opening strategy.

Store Optimisation

Provide sales information for every store, clustered against stores within a pre-determined or calculated peer group. Bring in product analysis, demographics and customer segmentation to get a real understanding of store performance. Enable you in the field teams access to all the required information in a simple and timely manner.

Seasonal Ranging

Bespoke seasonal phasing for Christmas, Easter, High Summer. The application shows the product build on a 1, 2 or 3 year basis, enabling to
see sales and markdown when the hot weather came early or late.

Also shows you whether it lasted for only 2 or 4 weeks enabling you to decide how much risk/opportunity you would like to take on highly seasonal stock.

This has the effect of minimising markdown.

Reporting

Built in our proprietary platform, our sales & stock reporting solution provides self service capability with zero deployment cost.

Provides in-depth sales analysis on all products from all stores. Start working with a singular version of teh truth, giving you a view of the real performance of your business, all driven by granular data. Use stock data to further enhance your capabilities, improve performance and increase margins.

Need to know more about Retail?
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Retail case-study

Our successes

Everyone is impressed by the completeness of the data and the ease with which they can view that data. No-one discusses doing this any other way

Phil Crewe, Parcelforce