Resources
Blogs
Generative AI in Retail: Optimism, Caution and Preparation
Retailers embracing Generative AI (GenAI) can unlock value by prioritizing customer trust. Addressing data privacy concerns and AI content misuse, alongside focusing on robust data infrastructure foundations, establishes trust as a premium for customers, ensuring optimal benefits.
Assuring Warehouse Flexibility During Festive Periods
QuantSpark’s Warehouse-Space Model employs a sophisticated algorithm that analyses historical sales data across a retailer's network of stores. Crucial for our clients during Christmas and other peak seasonal periods, the model aims to alleviate the strain on warehouse management capabilities.
Excel's breaking point: The case for data-driven precision in store-specific space plans
Embracing optimised store-specific space plans is a strategic imperative for modern day retailers. By optimising space utilisation, adapting to dynamic market shifts and enhancing shopping experience by identifying and catering to unique customer missions, macro space optimisations empower retailers to craft customised strategies for each of their locations.
Streamlit - Enabling rapid deployment of light weight web applications
Streamlit has emerged as a game-changing technology in supporting the process of building lightweight web applications, enabling us to transform models into functional, user-friendly applications at speed, requiring minimal writing of code.
A guide to driving business growth through Maximising Mix Marketing Models
Data-driven decision-making is not just advantageous for ever-changing business and marketing environments, it is indispensable. Here, we delve into the role Mixed Marketing Modelling must play and examine diverse approaches to its successful integration into your organisation's marketing strategy.
The long-tail opportunity for online retail pricing strategies
Whilst a long-tail of products makes economic sense, the larger the assortment the more reliant the retailer is on automated pricing strategies which can often require sophisticated analytics.
Coronavirus has created a ‘new normal’ for grocery shopping – how can analytics support?
The coronavirus crisis has sent shockwaves through all aspects of the grocer’s business model. To survive in the long-term grocers must look to pivot and optimise their business model using analytics to satisfy the ‘new normal’ of customer demand.