AI Agent Development
AI agent development becomes useful when an agent does more than answer: it uses sources, tools, rules, and approvals to complete a task.
Agentic supply chain advisor for inventory, demand, and interventions
AI Agents, Apps & Web Development Studio
Product systems and software architectures with Google Agent Development Kit (ADK), React Native & React
Agentic supply chain advisor for inventory, demand, and interventions
An agentic supply chain and inventory advisor watches stock, demand, and supplier signals, compares scenarios, and prepares controlled interventions.
What this is for
This advisor fits planning teams that need to see options and consequences quickly during inventory pressure, demand shifts, or supplier issues.
The agent detects shortage or overstock, shows cause and urgency, compares scenarios, and prepares an inventory action with risk, cost, and approval.
appamass connects Google Agent Development Kit (ADK), React/Vite dashboards, TypeScript data contracts, Cloud SQL/PostgreSQL, and supplier APIs so planning recommendations stay explainable and controllable.
The first advisor should answer one planning question: where is pressure building, which options exist, what does the decision cost, and who approves?
Turn inventory, demand, and supplier data into options
The agent should not only warn. It should prepare alternatives: transfer, reorder, wait, prioritize, or escalate, each with impact and reasoning.
What users see
Users see stock dashboard, demand signals, supplier notes, exception queue, risk cards, scenario table, and a prepared action form.
How it works
Google Agent Development Kit (ADK), inventory data, demand or forecast data, Cloud SQL/PostgreSQL, supplier APIs, scenario logic, React/Vite dashboards, roles, and audit logs connect behind the advisor.
What stays controlled
Data freshness, forecast assumptions, supplier status, risk rules, approvals, change logs, and later outcome comparison stay controlled.
A first agentic inventory planner
The first build should detect one concrete supply gap or overstock question, compare options, and prepare an intervention under control.
Read inventory pressure
Shortage, overstock, lead time, and demand shifts are shown with cause, urgency, and affected products.
Compare scenarios
Options such as transfer, reorder, wait, or escalate are compared by risk, cost, and impact.
Approve inventory action
A recommended action gets reasoning, form, owner, comment, status, and approval.
Other services
Related areas showing how mobile apps, React web systems, AI agents, and controllable automations fit together.