Casoca Product Intelligence Platform by is4.ai
Clean, normalized product data on-demand across any retail or brand site
The Challenge of Product Data Management
Data Chaos Across Sources
Product managers and technical teams face a persistent challenge: extracting consistent, reliable product intelligence from countless retail and brand sites. Each source presents data differently—inconsistent formats, varying attributes, unpredictable structures. Manual data collection is time-consuming, error-prone, and impossible to scale.
Modern businesses need structured product data—high-quality images, accurate pricing, reliable SKUs, and standardized attributes—delivered in a consistent, predictable format regardless of source. Without automation, teams spend countless hours copying, cleaning, and normalizing data instead of making strategic decisions.
The Cost of Inconsistency
Inconsistent product data creates cascading problems across your organization. Marketing teams struggle with outdated pricing. Sales teams lack competitive intelligence. Operations can't track availability accurately. Every manual data refresh introduces new errors and delays critical business decisions.
The solution isn't more manual effort—it's intelligent automation that delivers outputs clean, normalized, and ready to use without manual cleanup. Your team needs product intelligence that flows seamlessly into existing workflows, maintaining data quality while eliminating repetitive tasks.
A Centralized Product Intelligence Solution
Catalog Tracking
Monitor your product catalog across prioritized retail and brand sources. Add products individually, by identifier, or through bulk import. The platform maintains a complete view of where your products appear online.
On-Demand Refresh
Pull fresh data whenever you need it or configure automated schedules. Flexibility to refresh individual products, product groups, or your entire catalog ensures you always have current intelligence.
Automatic Normalization
Convert inconsistent source data into your canonical attribute standards. The platform applies intelligent mapping rules while preserving raw values for complete auditability and transparency.
Seamless Integration
Access normalized data through flexible exports or programmatic API. Deliver product intelligence directly to your existing tools and workflows without complex integration projects.
The Casoca Product Intelligence Platform eliminates manual data collection and normalization, transforming chaotic source data into reliable, actionable product intelligence. Your team gains a single source of truth for product information across all monitored channels.
Simple, Powerful User Flow
Add Products
Import via URL, identifier, or bulk upload
Enable Sources
Select retail and brand sites to monitor
Refresh Data
On-demand or scheduled updates
Auto-Normalize
Attributes standardized automatically
Review Unknowns
Map new values to standards
Export & Integrate
Deliver via file or API
Getting started takes minutes, not months. The platform's intuitive workflow guides you from initial product setup through data collection, normalization, and delivery. Each step builds on the previous one, creating a smooth path from raw source data to actionable product intelligence.
Advanced users can leverage bulk operations, custom mapping hierarchies, and API automation to scale across thousands of products. The same simple flow that works for a single product works for your entire catalog.
Intelligent Dashboard Views
Attention-Focused Design
Your dashboard landing page shows pinned products needing immediate attention. No scrolling through hundreds of SKUs to find what matters. The system automatically surfaces products with significant changes, data quality issues, or availability updates.
Each pinned product card displays critical pricing intelligence at a glance: the lowest current price with its retailer, the highest price with attribution, and visual indicators for recent changes. Color-coded alerts highlight magnitude of price movements and data freshness.
Smart Auto-Pinning
Configure intelligent triggers that automatically pin products based on your business rules. Large price swings beyond defined thresholds immediately appear on your dashboard. New availability at key retailers triggers pins for competitive response.
Data quality flags ensure you never miss scraping errors or missing attributes. The one-click refresh button pulls fresh data immediately when you need to verify changes or respond to competitive moves in real-time.
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Price Swing Detection
Automatically pin products when prices change beyond configured thresholds across any monitored source
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Availability Alerts
Surface products newly available at priority retailers or out of stock at key channels
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Data Quality Flags
Highlight scraping errors, missing attributes, or validation failures requiring review
Complete Product Catalog Management
The Product Catalog view provides comprehensive inventory visibility for all tracked products. Every item includes essential identification—product name, detailed description, category assignment—paired with critical identifiers like SKU, Style, Model numbers, and standardized EAN/UPC codes for universal product tracking.
Pricing Intelligence
See price ranges across all enabled sources with clear retailer attribution. Instantly identify lowest and highest prices to inform competitive positioning and pricing strategy decisions.
Variant Tracking
Manage product variants including colors, sizes, and configurations. Track pricing and availability for each variant individually while maintaining parent-child relationships.
Visual Thumbnails
Primary product images provide instant visual recognition. High-resolution thumbnails help teams quickly identify products while browsing or searching the catalog.
Freshness Indicators
Last updated timestamps show data currency for every product. Identify stale data at a glance and trigger selective refreshes for products requiring current information.
Powerful Search & Filtering
Find products instantly using robust search across any field—product names, SKUs, categories, retailers, or custom attributes. Boolean operators and wildcard support enable precise queries even across large catalogs.
Custom Views
Save filter combinations as custom views for quick access to product segments. Create views for product lines, categories, priority retailers, or any business-relevant grouping.
Deep Product Intelligence
Comprehensive Product Details
The Product Detail view delivers complete intelligence for individual SKUs. Access full-resolution product images suitable for marketing materials, presentations, or competitive analysis. Every image captured from source sites is available in the highest quality possible.
Current pricing displays for each enabled source with clear attribution and timestamps. Historical pricing data reveals trends, seasonal patterns, and competitive pricing strategies over time. Interactive charts visualize price movements across all monitored retailers simultaneously.
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Raw Source Data
View original scraped values exactly as extracted from source sites for complete transparency
2
Normalized Output
See how normalization rules transformed raw data into canonical attribute standards
3
Quality Assurance
Data quality flags highlight potential issues, scraping errors, or validation failures
4
Audit Trail
Complete history of data changes, mapping updates, and refresh operations
The side-by-side comparison of raw scraped values versus normalized outputs provides transparency into data transformation. Teams can audit exactly how source data maps to output standards, building confidence in data quality. Data quality flags and scraping error logs ensure technical teams can quickly diagnose and resolve collection issues.
Source Management & Cost Control
During onboarding, the Casoca team collaborates with you to identify priority retail and brand sites for monitoring. We build custom adapters for each source, handling the complexity of site-specific data extraction, authentication, and structure parsing. You focus on strategy while we manage technical implementation.
Flexible Source Control
Toggle individual sources on or off to manage coverage scope and control costs. Disable low-priority retailers during budget constraints or enable new sources when expanding competitive monitoring. Changes take effect immediately without complex reconfiguration.
Per-source visibility includes enabled status, total products successfully found, timestamp of last successful data pull, and current technical issues. This transparency helps teams understand coverage and quickly identify sources requiring attention.
Scalable Adapter Library
The platform maintains adapters for hundreds of retail and brand sites across multiple regions and product categories. As your monitoring needs evolve, adding new sources requires minimal setup time.
Custom adapter development for proprietary or niche sites typically completes within days. The platform's flexible architecture accommodates unique site structures, authentication requirements, and data formats without disrupting existing sources.
500+
Retail Sources
Pre-built adapters for major retailers globally
50+
Categories
Product categories supported across sources
15
Countries
Geographic markets with source coverage
99.5%
Uptime
Platform availability and reliability
Flexible Refresh Strategy
On-Demand Intelligence
Trigger data refreshes instantly whenever business needs demand current information. Refresh individual products, filtered subsets, or your entire catalog with a single click. Perfect for responding to competitive moves, verifying pricing changes, or preparing for critical meetings.
The refresh process runs in the background, allowing teams to continue working while data updates. Real-time progress indicators show products processed, successful pulls, and any errors requiring attention.
Scheduled Automation
Configure recurring full-catalog refreshes to maintain continuous data currency without manual intervention. Choose daily updates for fast-moving categories, weekly refreshes for stable products, or custom schedules aligned with your business cycles. Set-and-forget automation ensures teams always work with recent data.
Smart Notifications
Receive alerts when scheduled refreshes complete, significant price changes are detected, or data quality issues require attention. Customize notification preferences by product, category, or change magnitude. Integration with email, Slack, and Microsoft Teams keeps relevant stakeholders informed.
Automated Delivery
Configure automatic export delivery after each refresh cycle. Fresh data flows directly to your team's Google Sheets, SFTP servers, or email inboxes without manual download. Combine scheduling, refresh, and delivery for completely hands-off product intelligence updates.
The refresh model balances data freshness with cost efficiency. Strategic scheduling reduces unnecessary API calls while ensuring critical products receive frequent updates. Override schedules anytime with on-demand refreshes when business needs change.
Intelligent Data Normalization
The platform's normalization engine converts inconsistent, source-specific attribute labels and values into your canonical data standards. Raw source data—with its varied terminology, formats, and structures—transforms automatically into consistent outputs that integrate seamlessly with your existing systems and processes.
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3
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Product Overrides
Specific SKU rules
2
Brand Overrides
Brand-level standards
3
Global Defaults
Universal mapping rules
Hierarchical Rule System
Normalization rules apply in a clear hierarchy that balances consistency with flexibility. Global defaults provide baseline mappings for common attributes across all products. These universal rules handle standard color names, size designations, and category classifications.
Per-brand overrides accommodate manufacturer-specific terminology without affecting other brands. A brand that uses unique sizing systems or color names gets dedicated rules while other products continue using global standards. Per-product overrides handle edge cases where individual SKUs require specific mapping logic.
Preserved Auditability
Raw source values are preserved alongside normalized outputs, providing complete transparency into data transformation. Teams can audit exactly how each attribute was mapped, building confidence in output quality.
This dual storage approach ensures exports remain consistent and clean while maintaining the ability to review original source data. When normalization questions arise, raw values provide definitive answers without requiring fresh data pulls.

Example: A retailer lists a color as "Sky Blue" while your standard uses "Light Blue." The platform automatically maps this during normalization. Your exports show "Light Blue" consistently while the raw value "Sky Blue" remains accessible for verification.
Review Queue for Continuous Improvement
Intelligent Exception Handling
When the platform encounters new or unknown attribute values from source sites, it automatically flags them for review rather than making assumptions. The Review Queue aggregates these exceptions, showing each unknown value alongside its source context and frequency of occurrence.
Teams assign mappings at the appropriate hierarchy level—global, per-brand, or per-product—based on the value's scope and applicability. For example, a new color appearing across multiple brands likely receives a global mapping, while a brand-specific size code gets a per-brand rule.
Once assigned, mapping rules become immediately active and reusable. Future occurrences of the same source value automatically normalize to your chosen standard without additional review. This continuous learning approach improves accuracy and reduces manual intervention over time.
01
Detection
System identifies unknown or unmapped attribute values during data refresh
02
Aggregation
Similar values are grouped together with context and occurrence frequency
03
Assignment
Team member maps value to canonical standard at appropriate hierarchy level
04
Activation
New rule applies immediately to current data and future refreshes automatically
The Review Queue's efficiency grows with your catalog maturity. Initial setup requires more mapping work as the system learns your standards. Over time, most source values match existing rules, and review queue volume decreases significantly. Mature catalogs often operate days or weeks between reviews.
Flexible Outputs & Seamless Integration
Excel & CSV Exports
Download complete normalized data in spreadsheet formats compatible with any analysis tool. Customizable column selection, filtering, and sorting ensure exports contain exactly the data your team needs.
Word Documents
Generate formatted product reports with images, pricing tables, and attribute details. Perfect for sharing intelligence with stakeholders who prefer document-based formats.
Google Sheets Integration
Connect your Google Sheets directly to the platform for live, always-current product data. Teams collaborate on shared sheets while the platform maintains data freshness automatically.
Smart Export Templates
Save export configurations as reusable templates for one-click generation. Define column selection, filters, sorting, and formatting once, then generate updated exports instantly. Schedule template-based exports to deliver recurring reports automatically.
Export full catalogs, filtered product subsets, or products changed since a specific date. Incremental exports minimize file size while ensuring teams receive all relevant updates since their last download.
REST API Access
Programmatic integration enables sophisticated automation and system connectivity. Trigger refreshes from your applications, retrieve normalized data for downstream systems, and generate exports programmatically.
Webhook support pushes real-time notifications to your systems when key events occur—refresh completion, significant price changes, or data quality alerts. Build responsive workflows that react immediately to product intelligence changes.

Developer-Friendly: Comprehensive API documentation, code examples in multiple languages, and sandbox environments help technical teams integrate quickly. RESTful design patterns and predictable JSON structures minimize integration complexity.
Economic Proposal
We offer a transparent and flexible pricing structure designed to provide maximum value and scalability for your product intelligence needs.
Initial Setup
A one-time fee of $8,500.00 USD for comprehensive setup and configuration of your platform.
Monthly Subscription
$500.00 USD per month, paid annually in advance. This includes up to 100,000 product inquiries.
Scalable Capacity
Additional product inquiry capacity is available on-demand, sold in blocks of 50,000 queries for $100.00 USD each.
Dedicated Support
Benefit from our responsive, bilingual technical support team (English and Spanish) to assist you every step of the way.
Payment is due on execution of project and licensing agreement. This offer is valid for 30 days from its posting date of December 10, 2025.
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Immediate Actions
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Project Timeline
  • Today: Proposal approval and project authorization
  • Day 1: Project kickoff and development begins
  • Day 10: MVP launch and comprehensive team training
  • Day 11-15: First client pilots and feedback collection
Contact Information
Technical Documentation: Available upon approval
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Ready to Transform Workforce Development? Investment: $14,500 | Delivery: 2-3 Weeks | Impact: Measurable ROI from Day One
© 2025 is4.ai (private and confidential)