wave of data points from Sumo Analtyics.


Improving efficiency, customer satisfaction and optimising operations


The pressure on retailers has never been greater, as the empowered consumer increases its expectations of receiving goods in the right condition, at their preferred location, at their preferred time, and still maintaining operational efficiency and ROI. This makes data-driven transformation imperative in the low-margin hyper-competitive retail environment. 


As retailers strive to adapt to what’s convenient for consumers, accurate demand forecasts, inventory and distribution is required. The current retail environment evolves at a dizzying pace where data science and AI solutions are transforming the customer experience and how retailers operate. 

Couple shopping clothes in retail
Woman Shopping for Groceries in a supermarket using AI solutions

Consumers are more informed and connected than ever before and expect retailers to recognize and adapt to their ever-evolving spending habits. And as competition increases, the pressure to optimize the supply chain is mounting as organizations need to deliver products at the desired time and place faster than ever before. 


Obviously, as all this needs to be achieved, the requirement to decrease cost, increase operational efficiency and guarantee flawless customer experience persists. Sumo Analytics works with retailers to implement automated AI solutions and comprehensive data-driven transformation. We bring vital knowledge and expertise to generate real value from your own data to understand customers needs, reduce cost, maximise profits, and help your organisation adapt to a changing environment. 


  • AI-driven Demand Forecasting: Using historical data along with various external variables to customize multiple forecast models for the highest possible accuracy achievable

  • Return Forecasting: Using AI-solutions to predict the likelihood of purchased products being returned

  • On-Shelf Availability: Our Statistical Availability Monitoring actively detects lost sales and provides information to implement corrective actions

  • Price Optimisation: Analysing multi-channel data such as brand, category, item, location, competitor pricing, and product affinity to intelligently adjust and optimise price points

  • Daily Footfall Predictions: Store traffic identified to predict staffing requirements for every single business day 

  • Inventory & Supply Chain Optimisation: Forecasting periods of high demand aligned with predictive procurement allows for timely response to emerging sales trends ensuring availability and optimised distribution

  • Predictive Staffing: Optimal staffing levels predicted for fulfilling orders, call center and customer service or in-store staffing

  • Customer Satisfaction: Utilising data from different surveys and reviews, as well as scraping social media to predict the entire customer sentiment 

  • Product Recommendation: Identify the most effective products to offer each and every customer to impact purchasing decisions with increased sales and cross-selling

  • CRM State Prediction: Identify if customers are in the state of decline, dormant, churn, activation etc. for more targeted marketing communications 



If you're committed to a data-driven transformation, then get in touch and request a no obligation meeting with us.