Data Analytics
At Radix we turn data into decisions. We deliver mathematics-driven optimization solutions that guide pricing, inventory and much more; statistics-driven scores across domains to assess risk; forward-looking forecasts for informed decision making; and exec-ready dashboards with smart alerts for business insights. All of it can be seamlessly integrated with organization’s existing production systems.
Optimum pricing, allocation, routing, procurement and production planning etc. so decisions are fast, repeatable & auditable.
Demand forecasts, churn/propensity, price/discount guidance, and inventory planning, life time value that convert signals into actions.
Scores, reason codes, and early-warning signals using both bureau and alternative data; performance tracking and transparent model interpretation.
Executive-ready dashboards with drill-downs by product, channel, region, and time etc.. Automated alerts surface exceptions the same day so teams can act quickly.
What you get
- Complete decision support software, APIs and pluggable solutions
- Insight leading to action; e.g., reorder suggestions, make-goods guidance, pricing recommendations
- Ranking of entities’ risk and worthiness
- Clearly defined KPIs with baselines and targets
- Dashboards and scheduled reports for business users
Representative case snapshots
A Singapore headquartered SE-Asia distribution network required demand forecasts to determine appropriate drop sizes and product mix for its field staff traveling to remote locations. Radix developed a nightly batch process to predict SKU level demand and convert it to a drop suggestion, which is pushed to the FSA system.
An edTech test preparation company, having a large MCQ question bank, wanted to provide targeted tests to its students. The challenge was that the text contained lots of mathematical and chemical symbols, structures, equations and diagrams etc. Thus, it became a complex text- and image-based classification problem. Radix developed a solution pipeline with 92% accuracy for about 30 topics in each subject.
A major insurance company in Singapore wanted to deploy an automated Fraud Scoring Tool for its travel insurance portfolio. Along with the usual low incident rates in the data for modelling fraud score, interesting challenges like the nature of claims, status of formal police complaint had to be handled. Radix provided a model which with a very high recall and substantial precision which reduced manual investigation by 60%.
What we build, how it performs - Explore our work!
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