Algospark projects span a wide range of challenges and use cases across various industries. Our insight, design and prototypes deliver new service offerings and increase process efficiency. We ensure that quantification and maximizing value is at the heart of our solutions.
Our prototypes cover a mix of techniques that include forecasting, recommending, prioritising, anomaly detection, matching, clustering and allocating. They are designed with leading data science applications and cloud based web frameworks to ensure easy transition from prototype to full scale solutions.
We are a collective of partners with skills that span data science, customer experience, service design, finance and technology.
Algospark is led by Darren Wilkinson who has over 15 years experience leading and managing service innovation and analytics projects across numerous industries. Darren's expertise includes strategy, data science, corporate finance, programme management and technology.
We use Algospark as a innovation space to explore and fast track new ideas.
Organisations we have worked with:
A classification and feedback tool to streamline adult social care needs assessments. Ensures consistent needs classification, ongoing wellbeing feedback and predictions of future needs. Target 40% process time savings, and cost savings from reducing future hospital visits.
A word prediction tool trained on tweets, blogs and news articles. Built as a foundation for Natural Language Processing (NLP) projects such as document classification and automated responses.
A prototype care supplier selection algorithm for care commissioners. Ensures suppliers are prioritized and selected faster to reduce care brokerage requirements. Expected savings of 25% brokerage time.
A product sales prediction tool, dashboard and analytics suite for retailers. Combines historic transaction data with open data sets to drive insights on sales forecasting and product portfolio optimisation. Target sales uplift of 5%+ and operational savings of 5%+.
A scheduling and team resource optimisation tool for private tutoring, home care delivery and other time slot based services delivered to homes. Target 10% efficiency savings.
Machine learning algorithms to predict opportunities and challenges across business operations. Includes supply chain triggers, recommendation engines, advertising optimization, sales forecasting and HR analytics.