StockPulse

See inventory changes before they become stockouts.

StockPulse is a B2B real-time inventory dashboard for warehouse and operations teams that need a live view of stock across locations, bins, and SKUs. It helps teams catch shortages, overstocks, and data mismatches early so they can act before fulfillment slips or carrying costs rise.

Business Goals

  • Reach 95% of target warehouse teams activating their first live inventory feed within 7 days of signup.
  • Reduce time-to-detect inventory anomalies by 70% within 3 months of deployment.
  • Achieve 40% weekly active usage among subscribed warehouse supervisors within 90 days.
  • Increase paid conversion from trial to subscription to 25% within 6 months.
  • Maintain monthly logo churn below 5% for customers with at least 2 connected data sources.

User Goals

  • Give warehouse staff a live, trusted view of inventory by SKU, bin, and location.
  • Surface low-stock, overstock, and mismatch alerts in under 60 seconds.
  • Help supervisors prioritize exceptions without scanning spreadsheets or ERP screens.
  • Enable quick drill-down from a KPI to the exact inventory record causing the issue.
  • Provide shift-ready reporting that can be shared with operations and purchasing teams.

Non-Goals

  • Replacing the warehouse management system or ERP.
  • Managing purchase orders, supplier negotiations, or replenishment execution.
  • Optimizing robot routing, picking logic, or labor scheduling.
  • Supporting consumer shopping or end-customer order tracking.

Warehouse Supervisor Dana, 38 - Dana runs the floor during morning shift handoff and needs a dependable live view of stock health across several zones. She is responsible for preventing missed shipments and escalating issues quickly.

Warehouse Supervisor Dana, 38

  • As a warehouse supervisor, I want to see real-time inventory exceptions by location, so that I can send workers to the right area first.
  • As a warehouse supervisor, I want to filter by SKU family and urgency, so that I can focus on items that threaten same-day fulfillment.
  • As a warehouse supervisor, I want to acknowledge and comment on alerts, so that my team has a clear handoff trail.

Inventory Planner Luis, 31 - Luis monitors demand trends and stock position across distribution centers. He needs reliable visibility into whether system inventory matches reality before planning replenishment.

Inventory Planner Luis, 31

  • As an inventory planner, I want to compare on-hand, allocated, and available quantities, so that I can trust replenishment decisions.
  • As an inventory planner, I want to detect discrepancies between ERP and warehouse counts, so that I can trigger cycle counts early.
  • As an inventory planner, I want historical trends by SKU and site, so that I can identify recurring problem items.

Operations Director Priya, 45 - Priya oversees service levels across multiple warehouses and needs executive-level visibility without digging into operational details. She cares about SLA impact, exception volume, and adoption.

Operations Director Priya, 45

  • As an operations director, I want a cross-site dashboard of stock risk, so that I can see where the business is exposed.
  • As an operations director, I want weekly performance summaries, so that I can measure whether process changes are working.
  • As an operations director, I want role-based access for site managers and planners, so that each user sees only what they need.

Real-Time Inventory Dashboard · High priority

  • Provide a live operational dashboard showing current inventory status across warehouses, zones, and SKUs.
  • Display on-hand, available, reserved, damaged, and in-transit quantities with refresh intervals under 30 seconds for connected sources.
  • Support filtering by site, zone, SKU, category, supplier, and exception type.
  • Show configurable widgets for stockouts, low stock, overstocks, and count discrepancies.
  • Allow drill-down from a summary tile to item, bin, and transaction-level detail.
  • Handle stale data with a clear last-sync timestamp and data freshness warning.

Alerting and Exceptions · High priority

  • Detect and prioritize inventory risks so teams can respond before service issues occur.
  • Trigger alerts when inventory falls below threshold, deviates from expected counts, or remains stagnant beyond a configured window.
  • Support alert delivery in-app and via email, with optional Slack and Microsoft Teams notifications.
  • Allow thresholds to be configured per SKU, category, or warehouse.
  • Group repeated alerts into a single incident thread to reduce noise.
  • Provide acknowledge, assign, and resolve actions with comment history.

Data Integration and Sync · High priority

  • Connect to warehouse and ERP data sources, normalize incoming inventory data, and keep it synchronized.
  • Support scheduled imports and near-real-time sync from ERP/WMS APIs and CSV uploads.
  • Map source fields into a canonical inventory model with validation rules.
  • Surface integration errors with retry status and actionable error messages.
  • Store source-level sync metadata so users can see when each feed last succeeded.
  • Reject incomplete records and flag them for review without breaking the dashboard.

Reporting and Trends · Medium priority

  • Give teams historical context on inventory movement and exception trends.
  • Show daily and weekly trend charts for stockouts, counts, and inventory variance.
  • Allow exporting filtered views to CSV and PDF for ops meetings.
  • Support saved reports by site, team, or SKU family.
  • Include trend comparisons against prior period and moving average.
  • Provide a simple report sharing link with access controls.

Access Control and Auditability · Medium priority

  • Ensure the right people see the right inventory data and that operational actions are auditable.
  • Support role-based access for viewer, operator, planner, and admin roles.
  • Restrict site visibility based on user permissions.
  • Log user actions on alerts, filters, exports, and configuration changes.
  • Support SSO via SAML or OIDC for enterprise customers.
  • Provide audit logs searchable by user, action, source, and timestamp.

Fast Setup and Live View

  • Sign in with SSO or email invitation.
  • Connect one inventory source, such as NetSuite, SAP, Oracle WMS, Manhattan, or a CSV template.
  • Map core fields like SKU, location, on-hand, reserved, and last updated.
  • Review a validation summary and fix any missing or duplicate records.
  • Land on the live dashboard with the first data feed visible in under 10 minutes.
  • Create the first alert threshold or save a default view for the shift lead.

1. Connect Inventory Data

  • Users start by linking ERP/WMS sources or uploading a structured file to bring live inventory into the system.
  • Validate required fields before the first sync starts.
  • Show per-source connection status and last successful sync.
  • If a source fails authentication, provide a re-auth flow without losing mappings.

2. Review Inventory Health

  • The home dashboard highlights live counts, risk areas, and freshness of each connected location.
  • Default widgets include low stock, stockout risk, and discrepancy count.
  • Use color and icon cues with accessible labels for screen readers.
  • If data is stale, surface a banner and freeze stale widgets with timestamps.

3. Drill Into Exceptions

  • Operators click an exception to see impacted SKUs, sites, and likely causes.
  • Show transaction history, recent adjustments, and last count event.
  • Support empty-state messaging when there are no exceptions.
  • Handle duplicate alerts by grouping them into one incident thread.

4. Act and Assign

  • Users acknowledge issues, assign owners, and leave comments so the shift can move quickly.
  • Require a reason code when resolving a discrepancy.
  • Allow bulk assignment for multiple related alerts.
  • Keep a visible audit trail of state changes and comments.

5. Monitor and Share

  • Supervisors save views and export summaries for daily handoff and planning meetings.
  • Saved views retain filters, date range, and widget layout.
  • Exports respect user permissions and row-level access.
  • If export volume is large, process asynchronously and notify on completion.

Power User and Edge-Case Features

  • Threshold templates by category, warehouse, or season.
  • Cross-site comparison views for network-wide risk analysis.
  • Anomaly detection for sudden inventory swings using simple statistical baselines.
  • Scheduled email or Slack digests for morning shift handoff.
  • Offline-safe read-only caching for unreliable warehouse Wi-Fi.
  • Bulk CSV import with field mapping presets and error row download.

Operational Clarity at a Glance

  • Dense but readable data tables with sticky headers and column resizing.
  • Real-time status indicators that update without full-page refresh.
  • Keyboard navigable filters and action menus for shift-floor speed.
  • High-contrast mode and color-blind-safe alert palettes.
  • Sub-2 second navigation between dashboard, detail drawer, and reports on normal network conditions.

Dana starts her shift with three warehouses and too many spreadsheets. By the time she finishes checking the ERP, she is already behind on a low-stock item that will affect afternoon orders.

With StockPulse, Dana opens one dashboard and immediately sees the locations at risk, the freshness of each feed, and the handful of SKUs that need attention first. She assigns two discrepancies, saves a shift view, and shares it with the planner before the team heads to the floor.

By the end of the week, the warehouse is catching issues earlier, reducing missed picks and frantic manual checks. Priya sees fewer service incidents, Luis trusts the inventory data more, and the business spends less time reacting to surprises.

User-Centric Metrics

  • Average time to identify the top inventory issue under 2 minutes.
  • At least 80% of active users complete a drill-down from dashboard to record detail weekly.
  • Alert acknowledgment rate above 90% within 15 minutes for critical exceptions.
  • Data freshness visible for 99% of connected feeds with less than 30-second lag.
  • User-reported confidence in inventory accuracy improves by 30% after 60 days.

Business Metrics

  • Trial-to-paid conversion reaches 25% within 6 months.
  • 90-day retention exceeds 70% for accounts with at least one alert rule configured.
  • Net revenue retention above 110% through multi-site expansion.
  • Reduce customer support tickets about inventory visibility by 40% after onboarding.
  • Average account expansion from 1 to 3 connected sites within 9 months.

Technical Metrics

  • Platform uptime at 99.9% monthly.
  • Dashboard page response time under 2 seconds for 95% of interactions.
  • Background sync jobs complete successfully for 99% of scheduled runs.
  • All customer data encrypted in transit and at rest with audit logging enabled.

Tracking Plan

  • Track account_created when a workspace is provisioned.
  • Track data_source_connected when ERP, WMS, or CSV integration succeeds.
  • Track inventory_feed_synced when a refresh completes with record counts and freshness age.
  • Track alert_triggered when a threshold or anomaly creates a new incident.
  • Track alert_acknowledged and alert_resolved for operational follow-through.
  • Track dashboard_view_saved when a user saves a filtered or customized view.
  • Track export_generated when a CSV or PDF report is produced.

Technical Needs

  • Frontend built with React and TypeScript for a responsive dashboard UI.
  • Backend API using Node.js or Python FastAPI with REST endpoints for inventory, alerts, and reports.
  • Event-driven sync pipeline using queues such as AWS SQS or Kafka for ingestion and processing.
  • Primary relational store in PostgreSQL with read replicas for reporting queries.
  • Cache hot dashboard data in Redis to keep live views fast.
  • File and report generation service for CSV, PDF, and large export jobs.
  • Observability stack with OpenTelemetry, Prometheus, Grafana, and centralized logs.

Integration Points

  • NetSuite, SAP, Oracle WMS, or Manhattan inventory APIs.
  • Microsoft Entra ID and Okta for SSO.
  • Slack and Microsoft Teams for alert notifications.
  • Email delivery via SendGrid or Amazon SES.
  • Optional CSV and SFTP imports for customers with limited API access.

Data Storage & Privacy

  • Store only the inventory and operational metadata required for the product, not unnecessary personal data.
  • Encrypt data at rest using managed cloud encryption and in transit via TLS 1.2+.
  • Support role-based access and row-level site permissions for multi-warehouse customers.
  • Provide data retention controls for audit logs and exports, with configurable retention windows.
  • Document GDPR and CCPA handling for user accounts, audit events, and deletion requests where applicable.

Scalability & Performance

  • Design ingestion to handle millions of SKU-location rows across multiple sites.
  • Use pagination and server-side filtering for large dashboards and report tables.
  • Separate sync processing from UI queries so bursty imports do not slow the app.
  • Implement backpressure and retry logic for source API rate limits and intermittent failures.

Potential Challenges

  • Source systems may have inconsistent field names or data quality issues; mitigate with field mapping validation, deduplication rules, and error-row reporting.
  • Real-time expectations may conflict with slow third-party APIs; mitigate with freshness indicators, incremental sync, and cached reads.
  • Alert noise may overwhelm users; mitigate with threshold tuning, incident grouping, and digest modes.
  • Warehouse networks may be unstable; mitigate with resilient session handling, cached last-known data, and lightweight UI payloads.
  • Enterprise security requirements may slow adoption; mitigate with SSO, audit logs, and clear permission models from day one.

Team & resourcing - Small team - 2 engineers, 1 designer, part-time PM, and shared QA support.

Phase 1: MVP Foundations · Weeks 1-4

  • Core data model for inventory, locations, SKUs, and alerts.
  • Single-source CSV import and validation flow.
  • Basic dashboard with inventory totals, low-stock widget, and data freshness indicator.
  • Authentication and simple role-based access.
  • Audit log for imports and alert actions.

Phase 2: Live Operations · Weeks 5-8

  • API integrations for one or two priority systems such as NetSuite and a WMS.
  • Real-time or near-real-time sync pipeline with queue-based processing.
  • Alert rules, acknowledgment, assignment, and comments.
  • Drill-down detail drawer with transaction history and exception context.
  • Email notifications and saved dashboard views.

Phase 3: Reporting and Scale · Weeks 9-12

  • Trend reports and export to CSV/PDF.
  • Slack and Microsoft Teams notifications.
  • SSO via SAML or OIDC.
  • Improved permissions for multi-site customers.
  • Performance tuning for larger datasets and faster filter queries.

Phase 4: Enterprise Hardening · Weeks 13-16

  • Row-level security and full audit search.
  • Advanced alert grouping and digest scheduling.
  • Admin tools for integration health, retries, and mapping management.
  • Observability dashboards and incident alerts for platform reliability.
  • Polished onboarding with guided setup and first-success checklist.

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build a B2B web app called StockPulse: a real-time inventory dashboard for warehouse teams.

Use React + TypeScript + Next.js for the frontend, a FastAPI or Node.js backend, PostgreSQL for primary data, Redis for caching, and a queue worker for sync jobs. Make it responsive and optimized for dense operational tables.

Core product requirements:
1) Authentication with email/SSO placeholder flow and role-based access for viewer, operator, planner, admin.
2) Onboarding flow to connect inventory data via CSV upload and integration placeholders for NetSuite, SAP, Oracle WMS, Manhattan.
3) Main dashboard showing inventory KPIs: on-hand, available, reserved, low stock, stockouts, discrepancies, and data freshness by warehouse/site.
4) Filters for site, zone, SKU, category, supplier, and exception type with server-side querying and saved views.
5) Alerts/exceptions center where users can acknowledge, assign, resolve, and comment on inventory incidents.
6) Drill-down detail drawer/page for a SKU/location showing history, sync metadata, last count, adjustments, and related alerts.
7) Reporting screen with trend charts and CSV/PDF export.
8) Admin/integration settings screen for mappings, sync status, permissions, and audit logs.

Data model should include: Workspace, User, Role, Warehouse, Zone, SKU, InventoryBalance, InventoryTransaction, SyncSource, SyncJob, AlertRule, AlertIncident, Comment, AuditEvent, SavedView, ReportExport.

UX requirements:
Use a clean industrial B2B dashboard style with accessible colors, keyboard navigable tables, sticky filters, loading skeletons, empty states, stale-data banners, and fast drill-down interactions. Show real timestamps, last sync status, and error handling for failed imports or auth failures.

Build the app with seeded demo data, realistic sample warehouse metrics, and reusable UI components for cards, tables, modals, side drawers, alerts, and chart widgets. Include API routes, basic validation, pagination, search, and state management suitable for production scaffolding.

Business Idea

A B2B dashboard for warehouse teams to monitor inventory in real time.

Make My PRD

Design by The Resonance | Powered by GPC – The AI Transformation Company

    PRD: A B2B dashboard for warehouse teams