Client case studies.

A mid-sized commercial bank was running end-of-day risk reports on a 14-year-old Oracle stack that took 9–11 hours to compute, blocking compliance sign-off. Analysts spent over 60% of their week reconciling spreadsheets instead of investigating exposures.

Digitec re-platformed the risk pipeline onto Azure Synapse and Apache Spark, with Delta Lake as the storage layer and Python-based PySpark jobs for transformations. We introduced Airflow for orchestration and a Power BI semantic model for analyst self-service. Existing Oracle systems remained the system of record; CDC via Debezium streamed changes into the new lakehouse.

• Risk report runtime reduced from ~10 hours to 23 minutes (96% faster)
• 62% reduction in analyst hours spent on data wrangling

A private healthcare group operating 18 clinics across the UK was overwhelmed by inbound patient enquiries on phone and email, with average first-response times exceeding 14 hours. Staffing more agents was not commercially viable.

Digitec designed and deployed a retrieval-augmented generation (RAG) assistant on top of Azure OpenAI (GPT-4o) and a curated clinical FAQ corpus stored in Azure AI Search. The assistant triages enquiries by intent, books appointments through the existing Cliniko API, and escalates clinical questions to a human queue with full conversation context. A guardrail layer enforces HIPAA-equivalent PII handling.

• First-response time dropped from 14h to under 90 seconds
• 71% of inbound enquiries resolved without human handoff

A regional freight forwarder lacked real-time visibility into shipment status across 11 carriers and 4 ERP systems. Customer service was reactive, and SLA breaches were discovered only during monthly reconciliation.

Digitec built a unified shipment data platform using Apache Kafka for ingestion, Snowflake as the warehouse, and dbt for modelled views. A custom React + Mapbox tracking portal was deployed for customers, and an ML model trained on three years of historic transit data flags shipments at risk of SLA breach 24–72 hours in advance.

• 35% reduction in average delivery exception time
• 3× faster reporting cycle — monthly to weekly with daily drilldowns

A direct-to-consumer fashion brand was paying for a legacy Magento 1 storefront with a 4.8s mobile LCP and a 1.7% conversion rate. Replatforming attempts had been quoted at 9–12 months by previous agencies.

Digitec executed a headless replatform in 11 weeks using Next.js on Vercel for the storefront, Shopify Plus for commerce, and Sanity for content. We migrated 18,000 SKUs and 6 years of order history with zero downtime, instrumented full GA4 + server-side tracking, and rebuilt the product detail page around a research-led conversion pattern.

• Mobile conversion rate increased from 1.7% to 3.4% (100% lift)
• Largest Contentful Paint reduced from 4.8s to 1.3s

A regional HR SaaS company had a churning customer base and no insight into which features drove retention. Product decisions were made on intuition; finance had no reliable LTV model.

Digitec rebuilt the analytics stack around Segment for instrumentation, BigQuery for warehousing, and dbt for modelling. We deployed a churn-prediction model (XGBoost) trained on 30 months of usage and billing data, and surfaced predictions inside the customer success Salesforce instance via a reverse-ETL pipeline using Hightouch.

• 23% reduction in voluntary churn within two quarters
• Customer success team prioritisation moved from intuition to model-ranked accounts