The Generational Decision
The $30M Distribution Centre
The largest capital decision in Harvest Manitoba's history. A decision that size deserves the analytic rigour a Fortune 500 brings to a CapEx call.
On this page: capacity modelling, cost-to-serve scenarios, ROI break-even by year, and a risk register — all built on the same connected data layer that powers the executive dashboard.
Capital scale
~$30M
Network served
380+ agencies
People depending
108K+ / month
Capacity Model
Move the inputs to test how design choices affect the centre's ability to meet projected 2030 provincial demand.
Design Inputs
Modelled Outputs
Effective annual capacity
77.5M lbs
Throughput-constrained — adding shifts could push higher
% of projected 2030 demand met
99%
Baseline 2030 demand modelled at 78M lbs / year
Year-3 utilization (base case)
62%
Below 60% raises capex efficiency questions; above 85% means almost no surge headroom
Annual capacity vs. projected demand
77.5M of 78M lbs
Cost-to-Serve Scenarios
Three plausible futures, side by side. The decision isn't between building or not — it's between which curve you're comfortable defending.
Status Quo
Existing footprint, growing demand absorbed through overflow rentals and longer agency wait times.
Modelled cost per meal
$1.92
Strengths
- • No capex required
Trade-offs
- • Cost per meal climbs with demand
- • Agency wait-time risk
- • Surge capacity is rented at premium rates
DC at 80% Utilization
New $30M distribution centre running at design-target utilization in year three. The defensible base case.
Modelled cost per meal
$1.46
Strengths
- • Best operating economics
- • Surge headroom intact
- • Strongest cost-per-meal trajectory
Trade-offs
- • Demand projections must hold within ±10%
DC at 50% Utilization
Centre is built but demand grows slower than projected. Capex absorbed across fewer meals.
Modelled cost per meal
$1.78
Strengths
- • Surge headroom for unexpected events
Trade-offs
- • Capex efficiency questioned
- • Per-meal cost dilutes the gains
- • Board narrative is harder
Cost-per-meal figures are illustrative scenario outputs, not Harvest Manitoba financials. The framework is what we'd build for real.
ROI & Break-even
Cumulative net savings (or loss) vs the status quo, year by year. Crossing the zero line is break-even — positive territory is operating ahead.
Cumulative net savings = (cost-per-meal differential × annual meals) − amortized capex. Capex amortized as $1M/year over 30 years for chart clarity. All figures illustrative.
Risk Register
Every $30M decision has a risk profile. Each one below pairs with the analytic mitigation we'd build into the platform.
Utilization risk
Centre is built, but year-3 utilization sits below ~55%. Capex absorbed across fewer meals; cost-per-meal narrative gets harder.
Analytic Mitigation
Live utilization tracker on the executive dashboard from day one. Pre-defined utilization triggers tied to network expansion, surge agreements with adjacent food banks, and rentable cold-chain capacity.
Demand-projection risk
5-year demand projections under- or over-shoot the actual provincial trajectory.
Analytic Mitigation
Roll demand forecasts on a quarterly cadence using live agency-network signal (Statistics Canada CPI proxies + provincial unemployment + agency intake telemetry). Flag forecast deviation > ±10% to leadership in real time.
Donor-velocity risk
Concurrent operating campaign + capital campaign creates a pull on donor capacity. A 20% downturn in either materially shifts the operating envelope.
Analytic Mitigation
Donor-velocity dashboard with 30-day rolling pace, lapsed-donor segmentation, and capital-campaign progress visualization. Early warning at 15% drop vs trailing 12 months.
Construction cost overrun
Manitoba commercial construction inflation, supply chain volatility, or scope creep pushes capex past $30M.
Analytic Mitigation
Capex burn dashboard with milestone gates. Vendor cost benchmarks against comparable Canadian DC builds (Edmonton, Saskatoon). Contingency reserved at 12% of base capex.
Fuel + labour cost spike
Diesel and warehouse-labour markets shift materially, eroding cost-to-serve gains from the new centre.
Analytic Mitigation
Cost-to-serve model with monthly recalibration. Hedging strategy on fuel where economic. Volunteer + paid labour blend tracked agency-by-agency.
Agency network capacity gap
Last-mile agency capacity doesn't keep pace with hub throughput; food sits at the DC instead of reaching households.
Analytic Mitigation
Provincial agency coverage map (live), capacity-by-region dashboards, and forward-looking gap detection. Investment in agency-side cold storage where modelled bottlenecks emerge.
Governance / narrative risk
Board, donors, and funders need a clear, defensible story for a $30M capital decision under any scenario.
Analytic Mitigation
Board-ready scenario library refreshed monthly. Capital-campaign narrative tied to live operating data. Donor + funder dashboards showing impact-per-dollar.
ALDC as Decision-Support Partner
The full decision lifecycle, on one connected fabric.
A $30M capital decision isn't a single moment — it's a multi-year arc. We'd build the analytics that derisks the call before construction, tracks the build through to commissioning, and arrives ready on day one of operations.
Pre-decision
- Capacity, throughput, and dock-door modelling
- 5-year demand projection with rolling recalibration
- Cost-to-serve scenarios (status quo, base, downside)
- ROI break-even by year, by scenario
- Risk register with analytic mitigations
- Board-ready scenario library
During build
- Live capex burn dashboard against milestone gates
- Donor + capital campaign progress tracker
- Vendor benchmarks vs comparable Canadian DC builds
- Quarterly demand-forecast refresh
- Pre-launch operations readiness scorecard
Day one of operations
- Live throughput, utilization, and inventory turn
- Cost-to-serve recomputed daily
- Provincial agency coverage map driven by DC dispatch
- Surge response triggers tied to live network signal
- Board + funder dashboards drawing from the same source