Model Botswana's food security scenarios in minutes
Botswana produces only 10% of its grain demand locally, forcing millers to rely on imports and placing national food security at constant risk.
SecureSilo lets policymakers and milling executives simulate the impact of subsidies, import tariffs, climate events and production incentives on national grain availability and milling costs. Collaborative workspaces allow multiple stakeholders to align on data-driven food security strategies.
Botswana milling industry leaders, agricultural policymakers, and government food security planners
Combines milling industry operational data with macroeconomic models calibrated specifically to Botswana's trade agreements and currency dynamics
professional
Drag-and-drop interface to create complex policy and climate scenarios
Real-time charts showing effects on local production, imports, and milling margins
Invite ministry and industry stakeholders to co-edit scenarios
Browse and compare against actual past seasons
One-click generation of professional PDF briefings
Automated testing of key variable impacts
Connect live data from government sources
Compare Botswana performance against peer SADC nations
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| org_type | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| name | text | No |
| baseline_year | int | No |
| is_public_template | bool | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| workspace_id | uuid | No |
| name | text | No |
| subsidy_rate | int | Yes |
| import_tariff | int | Yes |
| climate_shock_factor | int | Yes |
| projected_local_production | int | No |
| projected_imports | int | No |
Relationships:
/api/simulateRun economic simulation on scenario parameters
/api/workspacesList accessible workspaces
/api/export/pdfGenerate policy brief PDF
Government only
Single organization
Multiple departments
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 18 | 33% | $208 | $2,496 |
| Month 6 | 95 | 41% | $1,368 | $16,416 |
Simulate policy decisions, climate impacts, and incentives in one collaborative platform used by both millers and government planners.
Secure pilot with the Ministry of Agriculture's Policy Unit by offering free Enterprise access for 6 months. Approach the top 4 milling conglomerates through existing relationships from previous consulting work. Present findings from initial model at the National Food Security Council meeting to generate demand.
Highly respected global models
Not interactive or tailored to Botswana milling economics
Purpose-built UX for policymakers and industry with Botswana-specific parameters
Growing library of validated Botswana-specific economic relationships and stakeholder network effects
New National Food Security Strategy launched in 2024 requires sophisticated modeling tools that current spreadsheets cannot provide
Long government sales cycles
Focus initial revenue on private milling companies while government pilots run in parallel
Model perceived as 'black box'
Provide full transparency of assumptions and allow users to override any variable
Success: Confirmed need and willingness to pay for simulation tool
Success: Model accurately back-predicts 3 of last 5 seasons
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