
Inventory Demand Forecasting
Vertex AI generating store-level demand predictions, optimising stock for thousands of SKUs.
Result · Capital efficiencyEighteen AI engagements across four sectors — anonymised to protect clients, described by the outcome that mattered.
AI engagements delivered across four sectors, each anonymised and described by outcome.
Sectors covered — retail & commerce, financial services, infrastructure, and media & travel.
Languages supported in a single localisation engagement, without losing dialect nuance.
Store-level demand forecasting became the backbone of merchandising decisions — not a side experiment run alongside the real process.
Inventory Demand ForecastingHigh-volume retail · Vertex AI
Before
Manual buyer intuition, thin stock data, frequent overstock and stockouts.
After
Store-level predictions across thousands of SKUs, reviewed weekly, not guessed quarterly.

Showing 18 of 18All eighteen engagements, across four sectors.

Vertex AI generating store-level demand predictions, optimising stock for thousands of SKUs.
Result · Capital efficiency
Google Trends + BigQuery to predict micro-trends and synthesise marketing copy before competitors.
Result · Speed to market
Document AI to extract and verify identity data — licences and registrations — at scale.
Result · Scale without cost
Robust regression models on Vertex AI with MLOps to predict trends and simulate ad auctions.
Result · Financial reliability
A generative AI solution grounded in proprietary docs to answer enterprise-grade queries.
Result · Reduced hallucination
GenAI grounded in technical documentation answering complex integration questions 24/7.
Result · Churn reduction
A compound AI system using DocAI for digitisation and LLMs to audit document trails for compliance.
Result · Process velocity
Specialised medical LLMs analysing applicant histories for hyper-segmented risk assessment.
Result · Precision pricing
MLOps workshops to streamline model deployment and monitoring across enterprise data teams.
Result · Reliability
Vertex AI Agent Builder lets engineers query terabytes of telemetry logs in natural language.
Result · Operational agility
A Vision AI + BigQuery pipeline automating detection of structural defects in train components.
Result · Safety & prevention
Enterprise Search ingesting 15 years of maintenance logs, manuals, and tribal knowledge.
Result · Reduced MTTR
Geospatial AI with predictive modelling to estimate vegetation growth and outage risk.
Result · Grid resilience
Cloud Search + Vision AI performing face and event recognition on historical media.
Result · Institutional memory
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Result · Asset monetisation
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Result · Search relevance
AutoML capturing dialect nuance and SEO requirements across 12+ languages.
Result · Conversion growth
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Result · Churn preventionWe work with teams that want AI to be useful, governed, and worth measuring. A single call is enough to map your first workflow.