CUSTOMER & PRODUCT INTELLIGENCE
Outcomes
Knowledge is power. Delivering value is powerful.
Customer and product intelligence only creates value when it reaches the people and systems that can act on it. We build the unified data layer and the AI models that make that possible, across every brand, channel, and line of business.
Before
Brands in a major portfolio operated independently. No shared data, no cross-brand customer visibility, no ability to act on engagement signals across the business.
Topgolf Callaway Brands · Retail / Lifestyle
→
After
A CDW and CDP on Snowflake unified all brand data into a single model with real-time pipelines. ML models in Snowpark power propensity scoring, next best action, and enterprise-wide insights across every brand in the portfolio.
Two brands live with new campaigns running in 16 weeks
Before
Client onboarding was a manual, weeks-long process. New clients waited up to three weeks before campaigns could begin.
Power Digital Marketing · Marketing Technology
→
After
A CDP with end-to-end automated infrastructure creation replaced every manual step. New clients fully onboarded in minutes with 22,800+ client resources managed on the platform.
7 minutes to onboard · Down from up to 3 weeks
Before
Business and IT disconnected. Undefined KPIs, no accountability, no single source of truth across a 28,000-employee distribution operation.
US Foods · Food Distribution
→
After
Centralized data governance with certified key metrics and embedded data product owners. Single source of truth enabling consistent, self-service decision-making.
Our approach
A unified customer and product intelligence layer built on our clients’ proprietary data. We help companies gain insight to deliver better experiences and drive higher conversion.

Built on Snowflake, Snowpark, and IBM watsonx.

© IBM Corporation 2026. All rights reserved.
Systems
Every customer. Every product. Full picture.
Every automation follows a specific architecture. Data flows in, AI processes it in real time, and the right output reaches the right person, agent, or system. Each implementation is tailored to the client's data and workflow.
View Example Architectures →
Not fragmented
One view across every touchpoint
We unify structured and unstructured data into a single governed intelligence layer your entire organization can build on.
Not siloed
Models that act, not just report
Propensity scoring, next best action, and recommendation engines run continuously. Intelligence reaches the team that can act on it.
Not generic
Built on your data, not benchmarks
We don't deploy a generic tool. Every automation is designed around your specific data sources, business rules, and operational needs.
Not siloed
Intelligence across brands and divisions
From multi-brand consumer platforms to enterprise-wide metric certification. Architecture designed to serve the whole organization, not one team at a time.
“The successful deployment of our new CDW and CDP platforms marks a crucial milestone, empowering us with cross-brand consumer insights and visibility.”
Ravi Kota, Senior Digital Director · Topgolf Callaway Brands
© IBM Corporation 2026. All rights reserved.
Success
Real Results Across Industries.
Not presentations. Not projections. These are production systems operating live for global enterprises at scale.
16 weeks
Two brands migrated with new campaigns live
Topgolf Callaway Brands
7 minutes
Client onboarding down from up to 3 weeks
Power Digital Marketing
26%
Faster demand forecast processing
Conagra Brands
Client results
More results, more industries.
Customer and product intelligence systems deployed across retail, CPG, healthcare, financial services, food distribution, and marketing technology.
Client
Intelligence type
Result
Topgolf Callaway Brands
Retail / Lifestyle
CDW and CDP on Snowflake unifying all brand data. ML models in Snowpark for propensity scoring, next best action, and cross-brand intelligence across Topgolf, Callaway Golf, and TravisMathew.
16 weeks Two brands live with new campaigns running
Power Digital Marketing
Marketing Technology
CDP with end-to-end automation of client infrastructure creation. Manual onboarding replaced with fully automated pipeline managing 22,800+ client resources.
7 minutes to onboard Down from 3 weeks · 400+ client ingestions in under 1 hour daily
Conagra Brands
CPG · $12B revenue
Demand signal processing and forecast accuracy platform. Dynamic tables and Snowpark pipelines eliminating 48-hour delays in demand planning cycles.
26% faster forecast processing every planning cycle
Komodo Health
Healthcare / Life Sciences
Snowflake managed accounts platform giving healthcare and life sciences providers greater visibility into clinical encounters across 330M patient journeys. Enables intervention signals for customer retention and future business development.
40% greater visibility into clinical encounters · 330M patient journeys on unified platform
Under Armour
Retail · $5B revenue
LLM-powered product description automation combining structured and unstructured data. Snowflake Intelligence (NLQ) enabling self-service analytics for business users without data team dependency.
Structural proof
Thousands of hours saved annually on product description creation. Analytics bottlenecks eliminated across global operations.
US Foods
Food Distribution · 28,000 employees
Centralized data governance with certified key metrics and embedded data product owners. Single source of truth across 70 locations and 300,000 restaurant partners.
Structural proof
Metric certification complete. Legacy tools retired. Consistent, trusted data across every business domain.
Colgate-Palmolive
Consumer Products
Structured data catalog for metadata management. Jira integration for task tracking. Training program for user adoption and data discoverability.
Structural proof
Faster and more accurate data discovery. Increased user proficiency and adoption enterprise-wide.
Wahl Clipper
Consumer Products / Manufacturing
Global data strategy across 11 ERPs consolidating to 3. SAP S/4 and Microsoft Dynamics 365 integrated into a unified data view. Coalesce deployed for accelerated transformation.
Structural proof
Supply chain optimization for 85% of global market. Reduced operational costs for global demand planning.
Take a Look
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Customer & Product Intelligence Video 1
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Customer & Product Intelligence Video 2
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The Data Innovation Journey
Stage 01
Chaos
→
Stage 02
Order
→
Stage 03
Insight
→
Stage 04
Innovation
Don’t Get Left Behind
© IBM Corporation 2026. All rights reserved.
Stage 01
Chaos
Data is scattered across siloed, legacy systems. No unified visibility. No reliable insight. No foundation for intelligence, automation, or modern AI innovation.
Stage 02
Order
A modern data stack is in place. Data is centralized, pipelines are clean, and the organization can finally trust what it’s looking at.
Stage 03
Insight
Data operates as a trusted asset across the organization. A single source of truth drives reliable intelligence, faster decisions, and measurable business impact at every level.
Stage 04
Innovation
Organizations at this stage have fully adopted and are operating on a modern data stack, deploying AI for automation and intelligence, launching data products, and opening revenue streams that weren’t possible before. With an AI-first infrastructure and mindset in place, they are positioned to move faster on emerging technology than slower adopters can, leaving the competition behind.