ShipHero Integration

ShipHero Integration: Automate Fulfillment Analytics

Connect ShipHero in 5 minutes. Your AI agent queries ROAS, spend, conversions, CPM, and CPC across campaigns and ad groups—then cross-references performance against 1,000+ marketing, sales, and analytics sources for complete visibility.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to ShipHero
Show me our fulfillment performance for the last 30 days across all warehouses.
Your average pick-to-ship time is 4.2 hours, with 98.7% order accuracy. East Coast warehouse is processing 2,400 orders/day at 99.1% accuracy, while West Coast handles 1,800 orders/day at 98.2%. You have 47 SKUs below reorder point.
Flag any SKUs that will stock out in the next 14 days based on current velocity.
Found 23 SKUs at risk. Top priority: SKU-8847 (hiking boots) projects stockout in 8 days at current 180 units/day sell-through. Current inventory: 1,440 units. Recommended reorder: 5,000 units based on 45-day lead time.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
ShipHero Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect ShipHero integration automatically

Improvado connects to ShipHero's API to extract your fulfillment and logistics data without manual exports. Our platform pulls order data, inventory levels, shipping metrics, and warehouse performance from your ShipHero account. The integration automatically refreshes data on customizable schedules, ensuring your analytics reflect current fulfillment operations. No manual CSV downloads or complex API management required.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the ShipHero API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor ShipHero through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Unified e-commerce data across all platforms

Improvado's Marketing Common Data Model (MCDM) standardizes ShipHero data alongside other e-commerce platforms like Shopify, Amazon, and WooCommerce. Fulfillment metrics are normalized into consistent naming conventions, enabling comprehensive supply chain analysis. Combine ShipHero shipping data with sales metrics from multiple channels for complete order-to-delivery insights. Your unified data flows into BigQuery, Snowflake, Redshift, or BI tools like Tableau and Power BI.

ShipHero API · [VERIFY] OAuth 2.0 · [VERIFY] hourly sync · incremental
Schema Overview

Data objects and fields Improvado extracts from ShipHero

Object Fields
Order
order_id order_number order_date fulfillment_status shipping_method total_price warehouse_id
Inventory
sku quantity_on_hand quantity_allocated quantity_available warehouse_id product_id last_updated
Shipment
shipment_id tracking_number carrier shipped_date delivery_status order_id line_items
Product
sku name barcode weight dimensions customs_value warehouse_locations
Warehouse
warehouse_id name address fulfillment_capacity active_orders inventory_count
How it works

From connection to autonomous action in three steps

1

Connect

Connect ShipHero via API key from your account settings. Agent accesses inventory levels, order status, fulfillment metrics, warehouse performance, and SKU velocity across all connected warehouses and 3PL locations.

2

Ask

Ask questions like 'Which warehouse has the highest mis-pick rate this week?' or 'Show me SKUs with inventory discrepancies above 5%' or 'What's our average time from order placed to shipped for priority orders?'

3

Act

Agent creates pick priority rules, adjusts reorder points, flags inventory discrepancies for cycle counts, updates SKU locations, and triggers low-stock alerts to your procurement team based on velocity trends and lead times.

Use Cases

What teams ask their AI agent about ShipHero

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Analyze fulfillment costs across ShipHero warehouses and compare with shipping revenue by channel.

Your AI agent analyzes ShipHero data and delivers actionable insights — automatically, in seconds.

5 hrs → 15 min
A
Improvado Agent Cross-channel

Monitor inventory turnover rates and identify slow-moving SKUs across multiple sales channels.

Your AI agent analyzes ShipHero data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Generate executive reports combining fulfillment KPIs with sales performance metrics.

Your AI agent analyzes ShipHero data and delivers actionable insights — automatically, in seconds.

3 hrs → 10 min
AI Agent Access

Your agent doesn't just read ShipHero—it optimizes budgets and pauses ads.

Read

Agent reads order fulfillment data, inventory levels by warehouse and bin location, pick-to-ship times, order accuracy rates, SKU velocity, stock-out projections, warehouse capacity utilization, return rates, and mis-pick incidents across your fulfillment network.

Write

Agent creates and modifies pick priority rules, adjusts reorder points and safety stock levels, initiates cycle count requests for discrepancies, updates bin locations, sets velocity-based alerts, and generates purchase order recommendations when SKUs approach reorder thresholds.

Monitor

Agent monitors inventory levels against reorder points, tracks fulfillment SLA compliance, watches for accuracy rate drops below targets, detects unusual velocity changes, flags bin location errors, and alerts on warehouse capacity approaching limits.

Query campaign performance, adjust bids, pause underperforming ad groups, and set spend alerts—all through Claude, ChatGPT, Cursor, or any MCP client. Every query, budget change, and alert is logged and governed.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · ShipHero
You
Which products have the slowest fulfillment times this month?
A
Fulfillment Performance
SKU Avg Pick-to-Ship Change vs Last Month
SKU-9234 Winter Jacket 6.8 hrs +42%
SKU-7712 Camping Tent 5.9 hrs +28%
SKU-4521 Sleeping Bag 5.4 hrs +19%
SKU-8331 Backpack 40L 4.7 hrs +15%
SKU-6109 Trail Shoes 4.3 hrs +8%
5 SKUs · Avg 5.4 hrs pick-to-ship · +22% slower than target
You
Create a pick priority rule for these SKUs to reduce fulfillment time
A
Pick Priority Rule Created
Applied to 5 SKUs · Target 4.0 hr fulfillment
Destinations

Send ShipHero data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with ShipHero as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What ShipHero data does Improvado extract?
Improvado extracts comprehensive ShipHero data including order fulfillment, inventory levels, shipping costs, warehouse performance, and product data. We support over 150 ShipHero metrics and dimensions. Custom fields and additional data points can be added based on your account configuration.
How often does ShipHero data refresh in Improvado?
ShipHero data refreshes every 6 hours by default, with options for more frequent updates for enterprise accounts. You can customize refresh schedules based on your operational needs. Real-time inventory updates are available for critical stock monitoring use cases.
Can I combine ShipHero data with sales platforms?
Yes, Improvado normalizes ShipHero fulfillment data with sales data from Shopify, Amazon, WooCommerce, and other e-commerce platforms. This enables end-to-end order analysis from sale to delivery. All platforms use consistent product SKUs and order identifiers for accurate matching.
Which data warehouses support ShipHero integration?
Improvado loads ShipHero data into BigQuery, Snowflake, Redshift, Azure Synapse, and other cloud warehouses. BI tool connections include Tableau, Power BI, Looker, and Looker Studio. Data can also flow to inventory management systems and business intelligence platforms.
Does the integration include inventory forecasting data?
Yes, Improvado extracts ShipHero inventory data including current stock levels, reorder points, and historical usage patterns. This data can be combined with sales forecasts from other platforms for comprehensive inventory planning. Custom inventory metrics are available based on your ShipHero configuration.
How much historical ShipHero data is available?
Improvado can extract up to 3 years of historical ShipHero data including order history, inventory movements, and fulfillment metrics. The platform maintains complete historical records for trend analysis and seasonality planning. Data granularity includes daily, weekly, and monthly aggregations.