Coverage Planning
Capacity Coverage Balance
Balances workforce and asset capacity allocation against geographic coverage goals to avoid solving one deficit while creating another. The app quantifies how reallocation decisions affect both achieved coverage and utilization pressure across regions. A trade-off frontier panel allows planners to evaluate balanced, coverage-max, and capacity-preservation operating points under the same demand baseline. Users can tune minimum service commitments and maximum utilization constraints to enforce policy guardrails. The workflow is designed for monthly planning where decisions must be explicit about trade-offs and risk. Outputs include recommended allocation mixes, projected SLA attainment, and residual unmet demand by region.
Coverage Planning Map
Presents a region-filtered coverage planning dashboard with a map-like zone grid, KPI cards, coverage and travel charts, and a target gap table for operational follow-up. The app compares current coverage share against zone-specific targets, flags zones that exceed the travel SLA, and highlights priority areas where uncovered households or target shortfalls create immediate service risk. Users can narrow the view by region or priority status to focus on the most exposed geographies and compare current performance against the deterministic seed baseline. Outputs include the active zone map, charted coverage-versus-target performance, and a ranked gap view for routing adjustments or expansion planning.
Coverage Variance Monitor
Monitors whether coverage performance is stable or drifting away from expected operating ranges across regions and service tiers. The app compares observed coverage to baseline bands and flags statistically meaningful variance for manager attention before customer impact compounds. A control-grid panel shows zone-level variance status, persistence, and directionality to separate one-off shocks from systemic drift. Users can align variance detection sensitivity with operating tolerance and seasonality assumptions. The workflow supports cadence-based governance where managers escalate only sustained and material deviation. Outputs include a variance exception list, ownership routing, and deterministic follow-up timestamps.
Expansion Action Queue
Converts identified coverage deficits into an executable queue of actions with effort, impact, and dependency visibility. The app combines readiness checks, expected coverage lift, and resource requirements so teams can rank interventions that are feasible in the current planning cycle. A queue board presents move-now, prepare-next, and hold states to avoid overcommitting constrained field and capital capacity. Users can test priority policies such as impact-first, speed-first, or risk-reduction-first without changing source assumptions. The workflow is optimized for operating committees that need deterministic action sequencing and clear ownership assignments. Outputs include a committed action set, implementation horizon, and residual gap forecast.
New Location Scenario Planner
Evaluates multiple new-site scenarios and compares expected coverage gain, travel-time reduction, and financial feasibility under common assumptions. The app is built for portfolio planning sessions where teams need to compare alternatives side by side before committing site development resources. A scenario panel computes deterministic uplift metrics for each candidate location and highlights cannibalization risk with nearby existing facilities. Users can adjust rollout timing and demand growth assumptions to stress-test whether benefits remain robust. The workflow yields clear go, defer, or reject recommendations with transparent trade-offs. Outputs include ranked scenario options and incremental coverage forecasts by zone.
Service Gap Diagnostics
Focuses on why service gaps persist after routine dispatch and route changes, separating structural gaps from temporary operational noise. The app decomposes deficits into capacity shortage, travel-friction, and demand-spike components so teams can assign the correct intervention type. A diagnostics matrix links each zone to actionable levers such as shift extension, vehicle reassignment, or referral partner activation. Users can inspect breach frequency and backlog accumulation by time band to identify chronic versus episodic risk. This workflow supports weekly operational reviews where teams need evidence-backed root cause tags. Outputs are a ranked intervention list and a deterministic root-cause profile per affected zone.
Service Radius Optimizer
Optimizes service radius policies by balancing incremental demand capture against travel-time reliability and utilization constraints. The app models radius options by zone and identifies the range where marginal coverage gain remains attractive without triggering excessive delay risk. An optimization table shows candidate radii, expected served demand, and SLA breach probability so operators can choose pragmatic settings for near-term execution. Users can apply sensitivity settings for traffic conditions and staffing availability to test policy robustness before rollout. The workflow supports controlled policy updates rather than one-time redesigns. Outputs include recommended radius settings and quantified trade-off curves.