Structured-data & Predictive ML
The older, quieter half of the field, which is still where much of the value is.
- Scoring
- Forecasting
- Recommendation
- Optimisation
Choosing what to put in the recommendation slots on a storefront
Ranks the catalogue for a given shopper from what comparable shoppers went on to buy and what this one has already viewed, filling the slots on the product page, the basket and the follow-up mail, with the ranking refitted on the interactions the storefront logged rather than on a fixed hand-written rule about which items go together.
- Effort
- Weeks of work
- Organisation size
- Small business
Scoring a loan application against past repayment outcomes
Fits a model to the outcomes of past advances — repaid, rolled, written off — and returns for a new applicant a probability of default together with the features that moved it, which a credit officer applies inside a written policy that still owns the cut-offs, the overrides and the list of who may exercise them.
- Effort
- More than a few weeks
- Organisation size
- Mid-market