15 problems machine learning bring us, each with the cause, what it costs and what we build to fix it.
When one experienced buyer forecasts demand from memory, the business depends on them. We capture their judgement in a forecast model the whole team can use.
Too much of the wrong stock and not enough of the right. We build machine learning demand forecasts per product so cash goes into stock that actually sells.
When complaints are logged as free text or 'Other', patterns stay hidden. We use machine learning to categorise complaints at volume and trace them to causes.
When quotes are priced by instinct, you win the jobs you underpriced. We use your past job data to predict true cost and flag quotes likely to lose money.
Chargebacks and bad orders found after dispatch cost stock and fees. We build machine learning order scoring that holds risky orders before they leave.
When reps pick leads by instinct, strong ones sit untouched. We build machine learning lead scoring from your CRM history so the best leads get called first.
Calendar servicing misses vans that are about to fail. We use your telematics, fault codes and repair history to predict which vehicles need attention now.
Guessing staffing levels leaves people idle one day and swamped the next. We build demand forecasts that tell you how many staff each shift actually needs.
Supplier names recorded ten ways and spend coded to sundries hide the real picture. We use machine learning to clean and classify spend so you can see it.
When the data scientist leaves, the model often lives on their laptop. We recover it, rebuild it as a documented, scheduled system, and make it maintainable.
Lots of data does not tell you what to predict. We start from the decisions your business makes and work back to the machine learning your data can support.
Blanket discounts reward customers who would pay full price. We build machine learning targeting so offers go to the customers they actually persuade.
Trade credit decided by instinct lets bad payers in and good ones wait. We build machine learning credit scoring from your own payment history to guide you.
Shrinkage discovered months later cannot be traced. We use machine learning on your stock movements to flag unusual losses by site, product and pattern early.
A sales forecast built from reps' gut feel misses every quarter. We build machine learning forecasts from your CRM history showing what the pipeline will close.