StockPulse

See inventory shifts before they become stockouts.

StockPulse is a B2B warehouse dashboard that helps operations teams monitor inventory levels in real time across locations, bins, and SKUs. It gives supervisors, planners, and inventory analysts a live view of stock movement, low-stock risk, and fulfillment bottlenecks so they can act before orders are delayed or inventory goes missing.

Business Goals

  • Increase weekly active usage among warehouse supervisors and planners to 70% of invited users within 90 days of launch.
  • Reduce inventory-related order delays by 20% within 6 months for pilot customers.
  • Achieve a 35% trial-to-paid conversion rate within 120 days by proving visible operational value in the first week.
  • Lower time spent on manual inventory checks by 50% within 3 months for teams using barcode or ERP feeds.
  • Reach 90% customer renewal intent at the end of the first contract period through dependable real-time visibility.

User Goals

  • Know current inventory levels by SKU, zone, and warehouse without exporting spreadsheets.
  • Receive alerts when stock falls below threshold or movement looks abnormal.
  • Spot discrepancies between system inventory and physical counts quickly.
  • Compare inbound, outbound, and adjustment activity in one place.
  • Filter to the locations, product families, or priority SKUs relevant to each shift.

Non-Goals

  • This product will not replace a full warehouse management system or ERP.
  • This product will not handle route planning, labor scheduling, or picker optimization in the first release.
  • This product will not manage purchasing approvals or supplier negotiations.
  • This product will not support consumer retail shopping or public product catalogs.

Operations Supervisor Lina, 39 - Lina runs a busy fulfillment warehouse and needs a fast way to catch stock issues before they impact shipping. She checks inventory multiple times per shift and needs a screen that works at a glance.

Operations Supervisor Lina, 39

  • As an operations supervisor, I want to see low-stock and negative-stock alerts immediately, so that I can reallocate stock before orders fail.
  • As an operations supervisor, I want to filter inventory by warehouse zone and shift, so that I can focus on the area I oversee.
  • As an operations supervisor, I want a clear exception list, so that I can investigate the most urgent issues first.

Inventory Analyst Mark, 32 - Mark reconciles system inventory against cycle counts and shipment activity. He needs trustworthy data, traceability, and quick drill-downs into movement history.

Inventory Analyst Mark, 32

  • As an inventory analyst, I want to drill into SKU-level movement history, so that I can explain discrepancies and adjustments.
  • As an inventory analyst, I want to compare expected inventory with counted inventory, so that I can identify shrinkage and process errors.
  • As an inventory analyst, I want to export filtered reports, so that I can share findings with finance and procurement.

Warehouse Manager Priya, 45 - Priya oversees multiple sites and cares about service levels, inventory health, and operational consistency. She needs a high-level view that can scale across warehouses.

Warehouse Manager Priya, 45

  • As a warehouse manager, I want to compare inventory health across locations, so that I can spot systemic issues and imbalance.
  • As a warehouse manager, I want role-based access for each site, so that teams only see the data they need.
  • As a warehouse manager, I want alert trends over time, so that I can measure improvement after process changes.

Real-Time Inventory Dashboard · High priority

  • Provide a live operational dashboard showing current stock status across warehouses, zones, and SKUs.
  • Display on-hand, reserved, available, and in-transit quantities with last-updated timestamps.
  • Refresh data in near real time with a target latency under 60 seconds for connected sources.
  • Highlight critical states such as low stock, zero stock, negative stock, and stale feeds.
  • Allow filtering by warehouse, zone, SKU, category, supplier, and alert severity.
  • Support saved views for common roles such as supervisor, analyst, and manager.

Alerts and Exception Management · High priority

  • Notify users when inventory crosses thresholds or data suggests a problem needing attention.
  • Support configurable thresholds by SKU, category, warehouse, and location.
  • Send in-app alerts plus email and Slack notifications for critical exceptions.
  • Group repeated alerts into incidents to prevent noise from high-frequency feeds.
  • Include acknowledgement, assignment, and resolution states for each alert.
  • Escalate unresolved critical alerts after a configurable time window.

Inventory Drill-Down and Audit Trail · High priority

  • Let users inspect the full history behind a stock number to understand how it changed.
  • Show transaction history for receipts, picks, transfers, adjustments, and counts.
  • Record who made each change, when it happened, and the source system if available.
  • Allow comparison between system quantity and physical count quantity.
  • Flag suspicious patterns such as repeated adjustments or sudden drops.
  • Support export to CSV and PDF for audit and reconciliation workflows.

Integrations and Data Ingestion · Medium priority

  • Connect to source systems and stream inventory data into the dashboard with validation and retries.
  • Support API-based sync from common ERPs and WMS platforms.
  • Accept CSV imports for teams without a direct integration during onboarding.
  • Validate schema, timestamp freshness, and duplicate records on ingestion.
  • Provide connector health status and last successful sync per source.
  • Queue failed syncs for retry and surface integration errors to admins.

Role-Based Access and Reporting · Medium priority

  • Control who can view and act on data, and give leaders reporting views for performance monitoring.
  • Support roles for admin, manager, analyst, and viewer.
  • Restrict data by warehouse or site for multi-location organizations.
  • Provide weekly inventory health summaries and trend charts.
  • Allow custom report exports on recurring schedules.
  • Track user actions for auditability and compliance.

Fast Onboarding to Live Inventory

  • Create the workspace and invite team members.
  • Connect the first data source using ERP, WMS, or CSV import.
  • Map warehouses, zones, and SKU identifiers to the dashboard schema.
  • Set alert thresholds for the top 20 priority SKUs.
  • Launch the first live dashboard and confirm data freshness.
  • Target time to first value: under 30 minutes for CSV import, under 2 hours for ERP/WMS integration.

1. Connect Data Sources

  • Users add one or more inventory feeds to bring live stock data into StockPulse.
  • Show supported connectors and a CSV fallback option.
  • Validate required fields before activation and warn on missing SKU or location IDs.
  • Display sync status and last successful update before dashboard access.

2. Map Inventory Structure

  • Users align source fields to warehouses, zones, bins, and SKU masters so the dashboard reflects their operations.
  • Provide a guided mapping screen with sample values and previews.
  • Reject ambiguous mappings where a source field maps to multiple entities.
  • Allow admins to edit mappings later without losing historical data.

3. View Live Inventory Health

  • Users land on a dashboard that summarizes stock health, risk, and movement in a single view.
  • Show KPI cards for low-stock SKUs, zero stock items, stale feeds, and exceptions.
  • Use color and icon treatment for severity while remaining readable for color-blind users.
  • Support search and saved filters for common operational views.

4. Investigate Exceptions

  • Users click into an alert or SKU to understand the underlying movement and current risk.
  • Show timeline of transactions and the source of each update.
  • Handle missing data gracefully with a clear message and fallback to last-known state.
  • Allow acknowledge, assign, and resolve actions directly from the detail panel.

5. Share and Act

  • Users export or share findings so teams can take immediate operational action.
  • Export filtered tables and exception summaries to CSV or PDF.
  • Send alert links to Slack or email with permission-aware access.
  • Surface recommended next steps such as recount, replenishment, or transfer review.

Power Tools for Mature Operations

  • Cross-warehouse comparison dashboards with inventory imbalance detection.
  • Anomaly detection for unusual adjustments, shrink patterns, or delayed feed updates.
  • Recurring reports with scheduled email delivery to operations leadership.
  • Custom alert rules based on rate of movement, not just absolute quantity.
  • Historical trend analysis for seasonality and replenishment planning.
  • API access and webhooks for downstream automation and internal BI tools.

Operational Clarity at a Glance

  • Dense but readable tables with sticky headers, sortable columns, and fast search.
  • Severity-based visual system that works without relying only on color.
  • Sub-2 second interaction latency on common dashboard actions.
  • Accessible keyboard navigation, screen-reader labels, and high-contrast mode.
  • Responsive layout for desktop-first warehouse use with tablet support on the floor.

Lina starts her shift by opening StockPulse on a wall-mounted tablet in the warehouse office. Instead of checking three spreadsheets and a separate ERP screen, she immediately sees five SKUs at risk, one stale feed from the east aisle, and an alert that a fast-moving item has dropped below replenishment threshold.

She clicks into the top exception and sees a transaction timeline showing an unusually large adjustment after a cycle count mismatch. With one share link to the inventory analyst and a Slack alert to the replenishment team, Lina gets the issue routed in minutes instead of hours.

By the end of the week, her team has fewer shipping delays and less time spent reconciling inventory manually. Priya, the warehouse manager, can also see the pattern across locations and use the data to improve process discipline and reduce repeat exceptions.

User-Centric Metrics

  • At least 80% of active users can identify the top inventory risk on the dashboard in under 30 seconds.
  • Reduce manual stock-check time from 2 hours per shift to under 30 minutes.
  • At least 60% of critical alerts are acknowledged within 10 minutes.
  • Decrease unresolved inventory exceptions by 25% within 90 days.
  • Reach a customer-reported dashboard usefulness score of 4.5 out of 5 or higher.

Business Metrics

  • Trial-to-paid conversion of 35% within 120 days.
  • Net revenue retention above 110% after year one through expansion to additional sites.
  • Monthly churn below 3% among warehouse teams after stabilization.
  • At least 50% of customers add a second warehouse or additional user role within 6 months.

Technical Metrics

  • 99.9% monthly uptime for the dashboard.
  • P95 dashboard load and filter response under 2 seconds.
  • Real-time sync freshness under 60 seconds for connected sources.
  • Zero critical security incidents and quarterly access review completion.

Tracking Plan

  • Track workspace_created to measure onboarding starts.
  • Track data_source_connected to measure integration activation.
  • Track mapping_completed to measure onboarding completion.
  • Track dashboard_viewed with filter context to understand daily usage.
  • Track alert_created, alert_acknowledged, and alert_resolved to measure operational response.
  • Track export_requested to measure reporting usage and audit demand.

Technical Needs

  • Frontend built with Next.js and TypeScript for a fast, data-heavy web app.
  • Backend API using Node.js or NestJS with REST plus webhook endpoints.
  • Event-driven ingestion pipeline using a queue such as AWS SQS or Kafka.
  • Primary datastore in PostgreSQL for relational inventory, users, and audit logs.
  • Cache layer with Redis for dashboard queries and alert deduplication.
  • Real-time updates via WebSockets or Server-Sent Events.
  • Observability with OpenTelemetry, structured logs, and error monitoring.

Integration Points

  • Microsoft Entra ID or Google Workspace for SSO and user provisioning.
  • NetSuite, SAP, or Microsoft Dynamics 365 as ERP sources.
  • Manhattan, Oracle WMS, or similar WMS platforms.
  • Slack and email for alert delivery.
  • CSV upload and scheduled SFTP drops for teams without APIs.

Data Storage & Privacy

  • Store only operational inventory data needed for the dashboard and audit trail.
  • Encrypt data in transit with TLS 1.2+ and at rest with cloud-managed encryption.
  • Apply role-based access controls and site-level data partitioning for multi-warehouse customers.
  • Support GDPR and CCPA requests for user account data, even if inventory data is business data.
  • Retain audit logs for a configurable period, with default retention of 24 months.

Scalability & Performance

  • Design for thousands of SKUs per warehouse and millions of movement records per month.
  • Pre-aggregate dashboard metrics to avoid expensive live queries on every page load.
  • Use incremental sync and deduplication to handle frequent updates from source systems.
  • Partition tenant data to keep multi-customer performance isolated.

Potential Challenges

  • Source systems may send inconsistent SKU or location identifiers; mitigate with a strong mapping workflow and validation alerts.
  • Real-time feeds can create noisy alerts; mitigate with deduplication, grouping, and severity thresholds.
  • Inventory data may arrive late or incomplete; mitigate with freshness indicators and stale-feed warnings.
  • Users may not trust the numbers initially; mitigate with visible audit trails and source timestamps.
  • Multi-site permissions can be complex; mitigate with simple role templates and explicit site-level access rules.

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

Phase 1: MVP Inventory Dashboard · Weeks 1–4

  • Workspace setup and authentication
  • CSV import for inventory data
  • Basic live dashboard with on-hand, reserved, and low-stock views
  • Simple filters by warehouse, SKU, and severity
  • Audit log for imports and user actions

Phase 2: Integrations and Alerts · Weeks 5–8

  • One ERP or WMS connector via API
  • Threshold-based alerts in app and email
  • Alert detail page with acknowledge and resolve actions
  • Saved filters and role-based access control
  • Data freshness and sync health indicators

Phase 3: Drill-Down and Reporting · Weeks 9–12

  • SKU movement timeline and discrepancy view
  • CSV and PDF exports
  • Scheduled summary reports
  • Slack notifications and alert grouping
  • Dashboard performance tuning and caching

Phase 4: Multi-Site Scale and Analytics · Weeks 13–16

  • Cross-warehouse comparison dashboards
  • Anomaly detection for unusual inventory patterns
  • Recurring executive reports
  • Expanded permissions and tenant isolation improvements
  • Analytics instrumentation and admin monitoring

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

Build a B2B web app called StockPulse for warehouse teams to monitor inventory in real time.

Use Next.js, TypeScript, PostgreSQL, Redis, and a Node.js API. Build a responsive desktop-first dashboard with authentication, role-based access, and tenant support for multiple warehouse customers.

Core screens and flows:
1. Login and workspace setup
2. Connect data source via CSV import or API connector
3. Map source fields to warehouses, zones, bins, and SKUs
4. Main dashboard with KPI cards, sortable/filterable inventory table, freshness indicators, and saved views
5. Alert center with acknowledge/resolve/assign actions
6. SKU detail page with movement timeline, transaction history, and discrepancy view
7. Reports/export screen for CSV and PDF downloads
8. Admin settings for users, roles, warehouses, alert thresholds, and sync health

Data model should include: Organization, User, Role, Warehouse, Zone, Bin, SKU, InventoryBalance, InventoryTransaction, AlertRule, Alert, DataSource, SyncJob, SavedView, ExportJob, AuditLog.

Requirements:
Inventory updates should feel real time using WebSockets or Server-Sent Events. Show last updated timestamps and stale feed warnings. Support low-stock thresholds by SKU, category, and warehouse. Deduplicate repeated alerts into incidents. Record audit history for imports, changes, acknowledgements, and resolutions.

Default UI should be clean, information-dense, accessible, keyboard navigable, and color-blind safe. Include a high-level empty state, loading skeletons, error states, and permission-denied states.

Create a polished SaaS-style interface with a left navigation rail, top bar search, summary cards, charts, tables, and detail drawers. Seed the app with realistic demo data for one multi-warehouse customer so the product is usable immediately.

Business Idea

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

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