Once the reporting foundation holds up, the same governed data can do more than fill a dashboard. It can forecast, flag and prompt. That is where we put AI to work.
Your data, nothing else
Every model runs on data that has been validated and governed first. No guessing from a generic dataset, no surprises from a source nobody checked.
Built to move a number
We start from the metric that matters and work back. Churn caught before it shows up in revenue. A forecast that lands a week earlier. A fleet sized to the contract, not the habit.
People lead, AI accelerates
Your team keeps the decision. The model does the reading, the ranking and the repetitive work nobody had time for.
Measured, in production
A prototype proves the idea. Production proves the value. Every deployment ships with a way to track what changed, so you know whether it is working and not just whether it is running.
Where We Have Done It
AI we have put into production, and what changed
Manufacturing
AI & Machine LearningData Analytics & BI
Predictive Sales Analytics (Next Best Action)
Gross profit margin up 35% within three months.
With tens of thousands of B2B customers, no sales team can read that pattern manually, so the quiet churn goes unnoticed until it shows up in the numbers. We built an automated recency-frequency-monetary model over Spandex's Salesforce data that predicts each customer's next purchase and prompts the right approach at the right time.
Spandex
Retail & E-commerce
AI & Machine LearningData Analytics & BI
Customer Sentiment Analytics
Merchandising and marketing get the reasons behind the ratings, not just the averages.
A five-star average tells you customers were happy, not what to stock more of. We mined product reviews across Tell Me Baby's 60,000-member loyalty program to surface the sentiment behind the scores.
Tell Me Baby
Logistics
Retail & E-commerce
AI & Machine LearningData Analytics & BI
Fleet Optimisation for a Major Logistics Tender
$1.2 million off the bid - six fewer prime movers, same contracted service levels.
Tender pricing turns on how many trucks you actually need, and over-specifying quietly loses the work. We modelled a supermarket distribution contract in detail and showed its service requirements could be met with 88 prime movers rather than 94.