COMPLETED 2020 · Predictive business analytics
SEER.
A clearer view of what comes next.
An online predictive-analytics platform designed to make business forecasting accessible to small and medium-sized enterprises.
- Delivery
- Knowledge Investment Group
- Implementation
- 23 December 2019 – 23 December 2020
- Project reference
- MySMIS 129090
01 / THE QUESTION
What could the data tell a business?
Retailers must match stock and replenishment to changing demand across large product portfolios. SEER addressed access to predictive tools without requiring each business to commission a separate AI development and consultancy project.
02 / THE APPROACH
Make predictive tools accessible.
The project combined deep-learning research, retail knowledge graphs and an online platform. Its reported research covered data loading, model training, product relationships and presenting predictions to business users.
- 01Business data
- 02Models & knowledge graphs
- 03Predictive analysis
03 / REPORTED RESULTS
What the project delivered.
- The completion notice reports an online platform and its processing backend, aimed particularly at SMEs.
- Reported outputs include research on predictive analytics and knowledge graphs, industrial-research and experimental-development reports, and supporting research equipment.
SOURCES & DATES
Read the original record.
The completion notice is dated 20 December 2020 and reports implementation through 23 December 2020. The page was uploaded on 25 March 2024. Final amounts differ slightly from the launch notice; this summary uses the completion figures.
MORE COMPLETED WORK