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AI-powered customer, sales and inventory analytics

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Optimise your entire retail operation, increase sales, reduce working capital and improve customer experience with big data analytics and real-time interactive dashboards. Create hyper-personalised customer engagement by leveraging AI and machine learning capabilities that pro-actively predict shifts in customer behaviours and sales trends.

Predictive Analytics and Machine Learning

Powered by Google Data Studio and Google Big Query, PredictRetail enables scalable analysis over petabytes of data that dynamically learns from your data to uncover relationships and trends and suggest optimal interventions, i.e. convert raw data into valuable insight.
Predictive analytics empowers your team to anticipate what is most likely to happen, giving you an opportunity to:
  • Take action on the insight
  • Improve your customer and product strategies
  • Increase sales by ensuring you always have the right product, at the right time, in the right location
  • Forecast, predict and segment more accurately than ever before

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Machine Learning Models

PredictRetail ML Models

Machine Learning Models

Interactive Dashboards and Reports​

Turn your data into fully customisable reports and dashboards that are easy to read and share.
Flexible interactive controls enable your team to filter, export and share data at a click of a button.

Descriptive analytics empower your team to learn from historical data and understand how it may influence the future.

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Interactive-Dashboards-And-Reports

business intelligence

Your Decision Support System
PredictRetail utilises descriptive analytics to present historical data in a way that can easily be summarised and understood.
Flexible interactive controls empower your team to filter, drill-down, and export data.
Customer Decision Support
Gain a deeper understanding of your customer behaviour and sales with purpose-built dashboards and reports that support a rich and flexible dataset of customer and sales related properties, events and transactions.
Build an effective, data-driven marketing strategy by leveraging customer-focused data analytics and a decision support system.
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Inventory Decision Support
Gain a deeper understanding of your inventory, sales, and promotions using real-time interactive dashboards and reports, designed to help your team make effective data-driven decisions.
Move away from spreadsheets and manual processes with near real-time sales and a merchandise decision support system.

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PredictRetail Solutions

With Argility’s solution you can take the guesswork out of future-planning, stock management and your customers’ behaviour. Predicting the future is how we can invent it, whether your business focus is on Customers or Inventory or both – Argility’s got you covered.

Predict-retail_

AI-powered customer, sales and inventory analytics

Improves decision making using machine learning and predictive analytics.
  • Standard
  • Optional - Machine Learning Models
  • Customer Business Intelligence (BI)
  • Customer segmentation
  • Personalised recommendations
  • Lifetime value analysis
  • Propensity to purchase
  • Inventory Business Intelligence (BI)
  • Sales & demand forecasting
  • Market basket analysis
  • Product life-cycle
  • SKU supersession
The models are the HERO of the PredictRetail solution.
It’s off-the-shelf, but it will customise itself to you.
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Benefits For Your Business

The smart and intelligent PredictRetail models will identify relationships between customers, products, transactions and services by analysing retail and transaction data, enabling you to predict supply and demand more accurately by identifying trends and hidden patterns.
  • Create targeted and personalised marketing campaigns
  • Optimise predicting demand patterns across products and channels
  • Provide decision support through predictive modelling and data science
  • Boost sales, marketing and increase basket size
  • Create next-sell and cross-sell opportunities
  • Maximise customer spend and return on investment
  • Measure the profit your business generates from a customer lifetime value
  • Reduce overstock, understock and out-of-stock
  • Maximise margins while ensuring stock clearance
  • Understand and manage risk together with the true cost of running credit
PredictCustomer_

AI-powered customer and sales analytics

Customer analytics tracking customer buying trends to improve customer retention and ROI on marketing spend.
  • Standard
  • Optional - Machine Learning Models
  • Customer Business Intelligence (BI)
  • Customer segmentation
  • Personalised recommendations
  • Lifetime value analysis
  • Propensity to purchase
The models are the HERO of the PredictCustomer solution. It’s off-the-shelf, but it will customise itself to you.
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Benefits for your business

Who your customers are and how your customers engage with your business provides a wealth of information. The challenge is in gathering, mining the patterns and turning these into actionable insights.

By using machine learning and various prescriptive and predictive models you will be able to:
  • Deliver more precise and personalised marketing campaigns
  • Enhance marketing return on investment
  • Be proactive and enhance customer retention
  • Build customer loyalty and trust
  • Build customer referrals
  • Enhance customer experience CX
PredictInventory_

AI-powered inventory and sales analytics

Inventory analytics for products, pricing, promotions, suppliers and sales. Focused on improved stock management and distribution.
  • Standard
  • Optional - Machine Learning Models
  • Inventory Business Intelligence (BI)
  • Sales & demand forecasting
  • Market basket analysis
  • Product life-cycle
  • SKU supersession
The models are the HERO of the PredictInventory solution. It’s off-the-shelf, but it will customise itself to you.
Download Brochure

Benefits for your business

Successful inventory management is a juggling act. One needs to be smart in balancing the demands of inventory quantities and, variety in order to meet your customer and business needs. The challenge is, that there are so many variables to consider, and understanding what’s impacting your cash flow, deadstock, stock-outs, unhappy customers and an unhappy bank is a complex and full-time job.

Some benefits of using Inventory predictive analytics are:
  • Enhance your sales and demand forecasting planning accuracy
  • Increase on-time deliveries
  • Increase sales by product grouping and recommendations
  • Proactively address changes in demand patterns
  • Improve customer experience

While there is no crystal ball to see into the future, predictive analytics provide the means to make an educated guess.

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Data transformation and processing

ATG is a Google Cloud Build partner. We utilise a microservices architecture and best-of-breed Google Cloud Analytics tools including Google Big Query, Google Dataflow, Google AI, and Kubeflow to handle any data transformation or machine learning workload with ease.

Frequently asked questions

You need historical data, preferably lots of data. Predictive modelling is most accurate when there is sufficient data to establish strong trends and relationships.
Depending on the product and model, we need data points about customers, sales, inventory, promotions, stores, etc. We will provide an exact template when we understand the available data.
Yes, our data engineers can clean and transform the data before importing it, if you do not have the capacity in-house.
Machine learning and predictive models are optional and will be trained and activated when required.
If the data is clean and formatted correctly, then one to two weeks. If data requires ETL and cleanup, then it depends on data accessibility, quality, volume, variety, and velocity. A general ballpark estimate is three to six weeks.
We take the privacy and security of your data very seriously. We typically do not require sensitive data for analytics and ML, and we anonymise the data beforehand. Googles strict compliance and security policies apply to all data deployed into our cloud products.
It depends on what products and models you select; the volume of data; and the processing power required every month. Rest assured the pricing model is flexible and you only pay for what you use.
  • Access to data often takes longer than expected, and the quality of data can cause delays if extensive cleaning, merging, and transformation are needed. It’s essential to appoint a single business champion to ensure the free flow of data and business-specific information and nuances about the data.
  • Post-implementation the focus is on change management and ensuring that processes are in place to use the insights and create value. For example, if an ML model predicts what a customer is likely to purchase next, and you don’t offer him the product to convert, then the insight has no value.
  • Ensure that your team have a clear understanding of the business goal you are trying to achieve. How do you measure it currently? What is the “needle” you want to move, and by how much? When we can measure and benchmark uplift and ROI against past performance, then it becomes easy to build support and create value throughout the organisation.

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I understand that I can withdraw my consent at any time.