What We Do
We serve global brands, manufacturers, distributors, and retailers that need a resilient, future-proof AI-first engine for product information and digital assets.

Data & Asset Optimization

Rapid Content Diagnostic.
Catalog every SKU, attribute, and file to expose gaps, duplicates, and compliance risks.

Normalization & Governance.
Apply taxonomies, naming conventions, and golden-record rules so AI models receive clean inputs.

Migration Playbooks
Map, transform, and load data from legacy systems with minimal business disruption.

Content Performance Dashboarding
Provide ongoing visibility into completeness, accuracy, and freshness.

Strategy & Roadmapping

AI-First Vision
Define how machine learning, generative AI, and predictive analytics will boost speed-to-shelf, conversion, and margin.

Business-Case Modeling
Quantify hard savings and revenue lift to secure executive and board approval.

12–18-Month Roadmap
Sequence quick wins and longer bets for phased value delivery.

Executive Alignment Workshops
Facilitate C-suite consensus and sponsorship.

Platform Selection & Implementation

Neutral RFP
Evaluate best-of-breed PIM, DAM, syndication, and MDM solutions against 200+ functional and technical criteria. We do not partner with any vendors whatsoever. 

Architecture & Integrations
Design scalable, API-driven connections to ERP, e-commerce, PLM, and analytics stacks. Specify custom development to close feature gaps.

Agile Deployment

Stand up the chosen platform in sprints—configuration, data migration, UAT, and go-live.

Performance Benchmarking
Validate throughput, latency, and scalability before full cutover.

AI-Powered Enrichment & Automation

Auto-Classification & Attribution
Use computer vision and NLP to tag images, generate copy, and fill attribute gaps at scale.

Intelligent Syndication
Dynamically transform and deliver channel-ready content to marketplaces, retailers, and DTC sites.

Predictive Merchandising
Leverage demand signals to optimize assortment, pricing, and content variations.

Feedback Loops
Monitor accuracy and continuously retrain models to reduce drift.

Change Management & Center of Excellence

Upskilling & Playbooks
Train teams on new workflows, AI tools, and governance policies.

Continuous Optimization
Monitor data quality, model drift, and channel performance; recalibrate every quarter.

Adoption Analytics
Measure user engagement and process compliance to target coaching.

Community of Practice
Foster cross-functional knowledge sharing and innovation sprints.

Enterprise AI Alignment & Governance

Strategic Convergence
Tie PIM/DAM roadmaps, data models, and syndication flows directly to the company’s AI vision and OKRs.

Governance Frameworks
Establish roles, guardrails, and ethical guidelines so AI initiatives scale safely and compliantly.

Use-Case Prioritization
Score and sequence AI opportunities by ROI, data readiness, and organizational impact.

Investment & Resourcing
Build the business case, secure funding, and align talent and partners for sustained delivery.

Exciting times ahead!

The impact of AI will remake our industry almost overnight. And then again tomorrow night. There is, however, one thing that we can count on: workflows that are designed with wide-open optionality will pivot, scale, and thrive in whatever crazy changes AI continues to bring.

© Copyright 2025 Chicago Consulting Group.
All Rights Reserved.