From fuzzy-logic algorithms to 3-D data modelling, IdeaPoint’s research team transforms complexity into competitive advantage.
25 years of applying cutting-edge math and computer science to real-world retail.
Handle ambiguous, incomplete, or noisy datasets with high-confidence predictions—perfect for inventory forecasts, demand spikes, and risk scoring.
Pricing heuristics, replenishment engines, and AI feature engineering built from the ground up for your data.
Visualize store layouts, warehouse flows, or product interactions in a true spatial context for better planning and faster iteration.
In-house libraries for high-performance math, GPU acceleration, and cross-platform deployment—so projects move from lab to production quickly.
• Fuzzy-logic controllers, Bayesian networks, stochastic optimization
• Rapid proofs-of-concept, white-papers, and patent support
• Digital twins of stores, warehouses, and supply-chain nodes
• Scenario testing for space utilization, route planning, safety analysis
• Bespoke calculators, rule engines, or simulation dashboards
• Delivered as web apps, APIs, or embedded components
• Wrap research code as microservices or SmartBanner™ modules
• CI/CD pipelines, monitoring, model retraining, and governance
Led by PhDs who’ve published on multivalued logic and optimisation
Every model is stress-tested against real commerce data.
Direct hooks into SmartBanner™, SmartHub, and cloud services.
On-prem or private-cloud deployment; full source escrow available.
Let’s discuss how specialized research can unlock new efficiency, insight, or revenue for your organization.