Emily's Enterprise Insight Ltd Intelligence that drives decisions
Evidence with a clear measure

Real Results, Real Partnerships

Emily's Enterprise Insight Ltd helps teams turn scattered data into decisions they can defend. These projects show the numbers that changed, the work behind them, and what stayed better after launch.

Discuss your challenge
ROI tracked Efficiency measured Risk made visible

Choose a sector to focus the stories. Every result is tied to an operational measure.

Selected client work

Featured Work

01 / Logistics

Reducing Courier Mileage by 27%

A national logistics firm was paying for avoidable miles across its daily delivery network. Emily's Enterprise Insight Ltd rebuilt route planning around live demand, vehicle capacity, and realistic depot cut-off times.

ProblemRoutes were planned in separate regional silos.
SolutionOne model ranked routes against live constraints.
Result27% fewer miles and lower fuel spend.
Read the delivery story

The team tested the model against six weeks of historic scans before a phased rollout. Dispatchers kept control of exceptions while planners gained a single view of route cost and service risk.

02 / Healthcare

A&E Demand Forecasting for an NHS Trust

An NHS trust needed earlier warning of pressure during flu season. A demand model combined attendance patterns, local conditions, and seasonal signals so bed planning could start before the queues formed.

ProblemBed pressure appeared too late for calm planning.
SolutionWeekly forecasts gave teams a 21-day view.
ResultFewer surprise shortages through peak weeks.
Read the planning story

Clinical and operational leads reviewed the forecast together each week. The approach made assumptions visible, kept patient data protected, and helped the trust move staff and beds before demand peaked.

03 / Retail

Customer Lifetime Value Modelling

A fashion retailer was spending heavily to acquire customers without knowing which relationships would last. Emily's Enterprise Insight Ltd connected order history, returns, and campaign response into a practical value model for budget decisions.

ProblemMarketing budgets followed volume, not margin.
SolutionSegments were ranked by future contribution.
ResultMargin lifted by 18% after reallocation.
Read the margin story

Marketing teams received simple thresholds they could use in campaign planning. The model also separated genuine growth from returns-heavy orders, giving finance and marketing the same commercial view.

04 / Public Sector

Open Data Portal for a County Council

A county council wanted residents to find service data without filing repeated information requests. We shaped a searchable portal around the questions people actually ask and the datasets teams could maintain.

ProblemUseful data was spread across hard-to-find files.
SolutionClear catalogues made ownership and updates visible.
ResultMore citizen self-service and clearer reporting.
Read the transparency story

Each dataset has an owner, update rhythm, and plain-English description. Council teams can see what needs attention, while residents get a direct route to current information.