Analytics is the brain of Reapp. It harvests data from all sources, and delivers them through our bespoke software so that real decisions can be made in real time in the field to deliver real results.
How it works
Analytics is the brain of Reapp
Analytics is the brain of Reapp. We’d like you to think of this brain as a giant hopper which has all of the highest quality data poured into it, and then out of the other end comes distilled information and exact actions.
Once the data is amassed we cleanse it and look at trends over time to move from reactive intelligence to prescriptive insights. Like looking into a crystal ball, we predict issues before they become problems and identify opportunities to maximise sales.
Reapp Analytics is a brilliant skeleton key that will unlock the mysteries held in complex data. It makes the complicated simple. It makes the unseen, seen.
Data intelligence delivered through a fine-tuned dashboard.
Reapp Analytics can be fine-tuned to meet your specific requirements. This could be monitoring distinguishing features, capturing gaps in availability, tracking competitor activity, even pricing, marketing and packaging differentiation.
Data is harvested, processed by Analytics and then presented in your own bespoke dashboard. This laser-like insight means you know the current conditions and surroundings of individual products instantly!
Unrivalled investment and collaboration
We’ve invested over £10 million in our data and tech platforms over the last 5 years. This software can not be bought anywhere else. Like that famous retail saying “We don’t make products for anybody else!”
We’ve applied a mobile first strategy to create cutting edge solutions that require minimal customisation. This means you can be up and running quickly and really stealing a march on your competition.
Making complex data simple and easy for you
Reapp Analytics pulls data from wide-ranging sources, before it is cleansed and analysed using AI, computer vision, and bespoke algorithms within a Microsoft Snowflake environment.
All of this ‘tech talk’ translates to some very clear benefits: Reapp Analytics turns complex data into simple, actionable insights specific to your need, category, retailer or product. This is exactly what we mean by making the complex simple, and the unseen, seen.
Our tech does the heavy lifting, saving you time and resource.
Ensuring product availability always
Reapp Analytics means you can ensure stock levels are always maintained and that products are at easy reach. This is not just fundamental, it is essential for any brand or retailer with ambitions to retain customer loyalty and boost sales potential.
Reapp Analytics will improve your sales, availability and compliance by ensuring every decision you make is driven by data and crystal clear insights.
Prescriptive rather than reactive.
By taking data from EPOS, online, instore, local events, and even the weather, Reapp Analytics gives your instore teams a set of concrete actions to increase sales. We move beyond just historical data and harness the power of data insight to maximise opportunities ahead of time, or before any issues may occur.
Rest assure, Reapp Analytics sorts out any problems with availability or compliance to give your teams personalised control over the numbers that matter the most.
Calculate your return on investment
You can begin to get an idea of just how powerful and effective Reapp is by putting some top level metrics into our clever calculator...
No. stores to visit
No. of products to check
Predicated incremental Sales Amounts
Figures shown are based on customer averages and are subject to change depending on your requirements
Analytics harvests data from many, many different sources to create the most well-rounded and detailed distillations and actions that will empower you, your team, your products. To give you an idea of how we do this, just some of our data sources are…
- Retailer EPOS data
- Crowdsourced distribution data – Ireland & UK Convenience
- Data from colleagues in store
- Image recognition and store images
- Online data from retailer.com websites
- Consumer and Retailer loyalty platforms
- Customer KPIs
- Demographic and Census
- Meta data sources, such as weather, key event, and travel information