bring your data to life.
strategy to science.
“data science has outgrown the lab and now informs real-life applications and decision making. This presents an exciting opportunity for retailers as the power becomes increasingly apparent.”
Data Science Practice Lead
Business outcome driven data strategies, are a lean and minimalist way to start exploring your existing data vision within the organisation, and the best path to driver to a better maturity. REPL helps retail clients evolve their organisational maturity across multiple dimensions spanning business processes, organization structure, data and analytics roadmap alignment. Armed by an agile methodology, templates and a process, we have trained data consultants that can assess your existing data maturity. Given a scientific framework of value chain assessment, we can identify the least effort opportunities that can create the best value of return for the organisation. Use cases of large organisations multimillion business cases, can be shared on request.
An intelligent automated operations model is the aim for many organisations, minimising the operations costs and overhead. At the core of these models, is data governance to maintain the data centric vision of the organisation, and the ownership hierarchy. REPL has trialled and executed methodologies across large organisations to establish governance and ownership. In addition, to experienced cloud data engineers and scientists to build the needed tools, and prescriptive analytics insights that simplifies millions and billions of data points into prescribed actions.
Adapt forecast is a cloud-based product developed by REPL PhD data scientists to forecast any timeseries data. The product is built with clients, and for clients, evolving with every client engagement. The product uses state of art machine learning technologies, leveraging a mixture of statistical models, and deep learning approaches, that allows us to leverage and generalise historical information globally and locally. The result is an open framework product that can be tailored for any organisational use case, leveraging any dataset that would improve accuracy. The current product is already live in many organisations generating billions of forecast data points. It considers various third-party datasets, like weather, economic indicators, geographical information, and events. The product can handle a wide verity of use cases, like new stores, renovations, cannibalisations, etc.
Please contact us for a demo.
REPL’s data science team harness the power of machine learning to drive efficiency, engagement and profitability, taking a scientific approach to complex business challenges with AI-led data insights and solutions. Watch the video for a simple yet power analytics use case
A creative use of data that generates tangible business value.
collaborate with us to unleash the power of your data.
REPL will make sense of your data. It will be organised, optimised and analysed by
creative, technical experts who will translate results into precisely targeted solutions.
collection, migration, clean-up, augmentation, inventory management
staff demand, inventory stocking, category management, root cause analysis
staff root cause analysis, recruitment criteria and staff shift optimisation
campaign forecasting, A/B significance testing
store services, local area demographics
competition analysis including online
read the Future of Retail report.
2020 was one of the most difficult years for retailers. Despite this, we believe there is a brighter future ahead if the industry is able to evolve at the pace required. Raconteur's Future of Retail report, featured in The Sunday Times, introduces the future of the industry and how it will be affected post Covid-19.
our partners in data science.
what our clients are saying about us.
latest news and insights.
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inspire your workplace.
talk to our team of experts, specialists in the areas of customer experience, workforce management and supply chain, about your challenges and objectives to see if we can help.