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« Company Overview
2021-04-01 to 2023-10-31
Knowledge Transfer Partnership
To add a novel module to its existing software programme which will provide novel capabilities in strategic planning and operational decision-making enabling companies in the FMCG sector to optimise price, promotion and replenishment decisions.
139,044
2020-11-01 to 2021-10-31
Study
The project aims to build business decision support techniques for market crisis and turmoil with a focus on consumer goods and retail Industry. Existing solutions for the stable state do not work in these times due to challenges of data and modelling techniques. The project is an Industrial research project that plans to apply new developments in Artificial intelligence for building dynamic market simulation and anomaly detection capabilities that will enable reliable and explainable decision making with proactive business optimisation ability in times of uncertainty, which now occur quite often and last several months and sometimes years. The project is led by Singular Intelligence Limited who have an existing Applied AI platform for Consumed Goods & Retail. The academic research collaborator is Loughborough University, who has deep experience in AI research and Agent-based modelling. The project is expected to have a game-changing impact by enabling survival, growth and business innovation in a disrupted Retail Industry. As a consequence, the efficiency gains, asset optimisation, the waste reduction will also create a positive broader impact on society and the environment. The technology will also have applications in other industries; eventually, an initial idea of which is also stipulated to be established in the later part of this project.
74,388
2020-06-01 to 2021-03-31
Feasibility Studies
Singular Intelligence offers an AI platform for augmented decision making in Consumer goods & retail sector for marketing and supply planning. The project aims to build a new software module that uses AI modelling techniques to learn from all relevant data from -- COVID-19, market and consumer data and generates a predictive view of emerging consumer preferences, for more accurate and granular forecasts that enable retailers and consumer goods companies to simulate various scenarios for getting the product in the hands of the consumer. This is planned to be a 23 weeks project ending with a prototype software that can be used for customer pilots to develop further and roll out at scale. The additional 'extension for impact' phase is planned to build usability, alignment with the buyer and user journeys and build enterprise integration APIs to offer a trial module as part of a faster distribution, adoption and commercialisation strategy.