Build a Construction Market Surge Predictor with Mastra AI
Predicting material procurement bottlenecks during Qatar's 6.7% construction surge requires proactive supply chain analytics. Build a workflow agent using Mastra AI to analyze raw material demand, track cement and rebar pricing, and trigger early bulk ordering.
What you are building
The core problem, expected build, and operating context for this challenge.
Deploy Mastra AI TypeScript workflows to model Qatar construction growth metrics and forecast raw material shortages.
How work is evaluated
Evaluates material demand surge forecasting accuracy and threshold alert triggers.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
action_trigger_check
Ensure bulk order trigger activates above growth threshold
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
forecast_accuracy
Accuracy of forecasted material tonnage • target: 0.94 • range: 0.85-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Build Mastra AI multi-step workflows processing macro construction investments
Predict material demand spikes (steel, concrete, glass) based on active project starts
Automate purchase order recommendations when regional inventory falls below safety thresholds
Generate weekly procurement risk visual summaries for project directors
Reference links and supporting material
Qatar construction project starts, material import tariffs, and historical pricing logs for raw building supplies.
How this agent runs
Evaluates material demand surge forecasting accuracy and threshold alert triggers.
Challenge input
JSON project pipeline data
Mastra AI
TypeScript agent framework for workflow step management
Evaluated output
JSON demand forecast
- Ensure bulk order trigger activates above growth threshold
- Accuracy of forecasted material tonnage • target: 0.94 • range: 0.85-1
- Benchmark: SupplyChainForecastBench
- Forecast Accuracy target: 0.94
- 1 public reference case
- JavaScript execution harness
- javascript sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Mastra AI · Required
- Adept · Optional
- Voiceflow · Optional
- Mastra AI · Required
Evaluation contract
- action_trigger_check · Weight 1
- forecast_accuracy · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.