Founder-Led Product Data Infrastructure

Hi, I’m Chris Johnson, founder and CEO of Skulytics.

For more than a decade, I worked directly inside appliance and furniture retail operations managing catalogs exceeding 100,000 SKUs, collaborating with 250+ vendors, and overseeing merchandising in $100M+ revenue environments.

Founder-Led Product Data Infrastructure

Hi, I’m Chris Johnson, founder and CEO of Skulytics.

For more than a decade, I worked directly inside appliance and furniture retail operations managing catalogs exceeding 100,000 SKUs, collaborating with 250+ vendors, and overseeing merchandising in $100M+ revenue environments.

Founder-Led Product Data Infrastructure

Hi, I’m Chris Johnson, founder and CEO of Skulytics.

For more than a decade, I worked directly inside appliance and furniture retail operations managing catalogs exceeding 100,000 SKUs, collaborating with 250+ vendors, and overseeing merchandising in $100M+ revenue environments.

The Industry Journey

How Skulytics Came to Exist

2019 - 2023

Merchandising at Enterprise Retail Scale Merchandising Operations

These roles required balancing.

Vendor relationships

Pricing structures

Promotional updates

Catalog accuracy across large SKU catalogs

At this scale, product data wasn't just operational. It directly impacted. revenue performance, inventory visibility, customer experience But the same structural issues remained. Retail platforms were still manually maintaining product data across hundreds of suppliers.

2024

Recognizing the Infrastructure Gap
Slyman Bros Appliance Co.

Working inside another major appliance retailer reinforced the same reality. Every retailer was solving the same product data problems independently.
There was no shared infrastructure layer connecting manufacturers, distributors, and retail platforms.

2025

Launching Skulytics

I launched Skulytics in 2025 as an independent product data infrastructure layer designed specifically for appliance, furniture, and mattress retail. Instead of every platform building its own integrations, Skulytics provides.

Normalized product data

Real-time catalog updates

Authorization-aware data delivery

Catalog accuracy across large SKU catalogs

All through a single API. The goal is simple. Make product data reliable enough to build software on top of.

2013 - 2019

Learning the Catalog Problem at Scale eCommerce Catalog Manager - Goedeker’s

I began my career working inside appliance retail operations at Goedeker’s, managing large eCommerce catalogs across hundreds of manufacturers.My work involved maintaining product specifications, pricing updates, media assets, and lifecycle changes across thousands of SKUs.Inside a high-volume retail environment, I quickly saw how fragile product data workflows really were.

Manufacturer data arrived in inconsistent formats

Pricing updates moved through spreadsheets and emails

Product specifications required constant manual reconciliation

Retail operations weren’t limited by software. They were limited by product data infrastructure.

2023 - 2024

Seeing the Platform Side of the Problem
Appliances Connection

Working inside large-scale appliance retail operations gave me deeper exposure to the technical side of product data management. Platforms had to build complex ingestion pipelines just to maintain manufacturer catalogs. Engineering teams spent significant time maintaining:

Product data ingestion

Pricing updates

Catalog normalization

 Supplier integrations

Instead of building product features, teams were rebuilding data infrastructure.

2024

Building Structured Data Systems
Appliance.io

While working with Appliance.io, I began building structured product data pipelines designed to power real retail software systems. These pipelines delivered standardized product data to.

POS systems

ERP platforms

 eCommerce storefronts

Catalog accuracy across large SKU catalogs

This work revealed a larger opportunity. Retail platforms didn’t need another tool.
They needed infrastructure.

2026

Infrastructure for the Retail Ecosystem

Today, Skulytics is evolving into a unified product data infrastructure layer connecting.

Manufacturers

Retailers

Distributors

Buying groups

As retail technology becomes more interconnected, structured product data becomes critical infrastructure. That’s the layer we’re building.

2013 - 2019

Learning the Catalog Problem at Scale eCommerce Catalog Manager - Goedeker’s

I began my career working inside appliance retail operations at Goedeker’s, managing large eCommerce catalogs across hundreds of manufacturers.My work involved maintaining product specifications, pricing updates, media assets, and lifecycle changes across thousands of SKUs.Inside a high-volume retail environment, I quickly saw how fragile product data workflows really were.

Manufacturer data arrived in inconsistent formats

Pricing updates moved through spreadsheets and emails

Product specifications required constant manual reconciliation

Retail operations weren’t limited by software. They were limited by product data infrastructure.

2019 - 2023

Merchandising at Enterprise Retail Scale Merchandising Operations

These roles required balancing.

Vendor relationships

Pricing structures

Promotional updates

Catalog accuracy across large SKU catalogs

At this scale, product data wasn't just operational. It directly impacted. revenue performance, inventory visibility, customer experience But the same structural issues remained. Retail platforms were still manually maintaining product data across hundreds of suppliers.

2023 - 2024

Seeing the Platform Side of the Problem
Appliances Connection

Working inside large-scale appliance retail operations gave me deeper exposure to the technical side of product data management. Platforms had to build complex ingestion pipelines just to maintain manufacturer catalogs. Engineering teams spent significant time maintaining:

Product data ingestion

Pricing updates

Catalog normalization

 Supplier integrations

Instead of building product features, teams were rebuilding data infrastructure.

2024

Building Structured Data Systems
Appliance.io

While working with Appliance.io, I began building structured product data pipelines designed to power real retail software systems. These pipelines delivered standardized product data to.

POS systems

ERP platforms

 eCommerce storefronts

Catalog accuracy across large SKU catalogs

This work revealed a larger opportunity. Retail platforms didn’t need another tool.
They needed infrastructure.

2024

Launching Skulytics

I launched Skulytics in 2025 as an independent product data infrastructure layer designed specifically for appliance, furniture, and mattress retail. Instead of every platform building its own integrations, Skulytics provides.

Normalized product data

Real-time catalog updates

Authorization-aware data delivery

Catalog accuracy across large SKU catalogs

All through a single API. The goal is simple. Make product data reliable enough to build software on top of.

2025

Recognizing the Infrastructure Gap
Slyman Bros Appliance Co.

Working inside another major appliance retailer reinforced the same reality.
Every retailer was solving the same product data problems independently.
There was no shared infrastructure layer connecting manufacturers, distributors, and retail platforms.

2026

Infrastructure for the Retail Ecosystem

Today, Skulytics is evolving into a unified product data infrastructure layer connecting.

Manufacturers

Retailers

Distributors

Buying groups

As retail technology becomes more interconnected, structured product data becomes critical infrastructure. That’s the layer we’re building.

2013 - 2019

Learning the Catalog Problem at Scale eCommerce Catalog Manager - Goedeker’s

I began my career working inside appliance retail operations at Goedeker’s, managing large eCommerce catalogs across hundreds of manufacturers.My work involved maintaining product specifications, pricing updates, media assets, and lifecycle changes across thousands of SKUs.Inside a high-volume retail environment, I quickly saw how fragile product data workflows really were.

Manufacturer data arrived in inconsistent formats

Pricing updates moved through spreadsheets and emails

Product specifications required constant manual reconciliation

Retail operations weren’t limited by software. They were limited by product data infrastructure.

2019 - 2023

Merchandising at Enterprise Retail Scale Merchandising Operations

These roles required balancing.

Vendor relationships

Pricing structures

Promotional updates

Catalog accuracy across large SKU catalogs

At this scale, product data wasn't just operational. It directly impacted. revenue performance, inventory visibility, customer experience But the same structural issues remained. Retail platforms were still manually maintaining product data across hundreds of suppliers.

2023 - 2024

Seeing the Platform Side of the Problem
Appliances Connection

Working inside large-scale appliance retail operations gave me deeper exposure to the technical side of product data management. Platforms had to build complex ingestion pipelines just to maintain manufacturer catalogs. Engineering teams spent significant time maintaining:

Product data ingestion

Pricing updates

Catalog normalization

 Supplier integrations

Instead of building product features, teams were rebuilding data infrastructure.

2024

Building Structured Data Systems
Appliance.io

While working with Appliance.io, I began building structured product data pipelines designed to power real retail software systems. These pipelines delivered standardized product data to.

POS systems

ERP platforms

 eCommerce storefronts

Catalog accuracy across large SKU catalogs

This work revealed a larger opportunity. Retail platforms didn’t need another tool.
They needed infrastructure.

2024

Launching Skulytics

I launched Skulytics in 2025 as an independent product data infrastructure layer designed specifically for appliance, furniture, and mattress retail. Instead of every platform building its own integrations, Skulytics provides.

Normalized product data

Real-time catalog updates

Authorization-aware data delivery

Catalog accuracy across large SKU catalogs

All through a single API. The goal is simple. Make product data reliable enough to build software on top of.

2025

Recognizing the Infrastructure Gap
Slyman Bros Appliance Co.

Working inside another major appliance retailer reinforced the same reality.
Every retailer was solving the same product data problems independently.
There was no shared infrastructure layer connecting manufacturers, distributors, and retail platforms.

2026

Infrastructure for the Retail Ecosystem

Today, Skulytics is evolving into a unified product data infrastructure layer connecting.

Manufacturers

Retailers

Distributors

Buying groups

As retail technology becomes more interconnected, structured product data becomes critical infrastructure. That’s the layer we’re building.

 Operational Experience

Industry Experience That Shaped Skulytics

Before Skulytics existed, the work happened inside real retail environments. Across multiple roles in appliance and furniture retail operations, Chris Johnson

worked directly with large-scale product catalogs and merchandising systems. These environments included.

These challenges were not theoretical. Product data directly impacted.

Revenue performance

Revenue performance

Pricing compliance

Pricing compliance

Inventory accuracy

Inventory accuracy

SEO visibility

customer trust

customer trust

Vendor relationships

When product data breaks, the entire retail operation feels it.

 Operational Experience

From Internal Tool to Industry Infrastructure

While supporting retail platforms and data initiatives, it became clear that structured product data was becoming a shared problem across the industry. Retailers needed consistent product data to operate efficiently. Software platforms needed reliable product data to power features like search, pricing logic, quoting tools, and inventory workflows. Manufacturers needed greater control over how their product information was distributed across the market. But the infrastructure connecting these groups didn’t exist. Many retailers were forced into difficult trade-offs.

The Retail Data Ecosystem

The Long-Term Vision

Retail technology is becoming increasingly interconnected. Product data no longer stays within a single system. It moves across an entire ecosystem of platforms and partners. Today, product data flows between.

Manufacturers

Retailers

Distributors

Buying groups

POS systems

ERP platforms

eCommerce storefronts

As these systems become more connected, product data must be
governed with greater precision.

Skulytics is building toward a future where product data is delivered through a unified infrastructure layer with.

Manufacturer-controlled distribution

Manufacturer-controlled distribution

Real-time change notifications

Real-time change notifications

Real-time change notifications

Standardized schemas across product categories

Structured datasets ready for modern retail systems

Structured datasets ready for modern retail systems

Founder Perspective

Why This Matters

I’ve spent more than a decade working inside this industry. During that time, I’ve seen the same problems surface again and again. Retailers struggle to compete online because structured product data is difficult to access and maintain. Software platforms spend engineering time rebuilding integrations that already exist elsewhere in the ecosystem.

Manufacturers lose control over how their products appear across different retail channels. These are not small inefficiencies. They are structural issues in how retail product data moves across systems.

These are not small inefficiencies. They are structural issues in how retail product data moves across systems. Skulytics exists because this ecosystem deserves infrastructure, not workarounds. And we’re just getting started.

Build on Infrastructure Designed for Retail Complexity

Whether you’re building a retail platform or managing manufacturer distribution,

Skulytics provides the authorization-aware product data infrastructure required to operate at scale.

Build on Infrastructure Designed for Retail Complexity

Whether you’re building a retail platform or managing manufacturer distribution,

Skulytics provides the authorization-aware product data infrastructure required to operate at scale.

Build on Infrastructure Designed for Retail Complexity

Whether you’re building a retail platform or managing manufacturer distribution,

Skulytics provides the authorization-aware product data infrastructure required to operate at scale.

Location

106 Four Seasons Shopping Center, Suite 115 Chesterfield, MO 63017, United States

How Can We Help You?

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© 2026 Skulytics. All Rights Reserved.

Location

106 Four Seasons Shopping Center, Suite 115 Chesterfield, MO 63017, United States

How Can We Help You?

Social

© 2026 Skulytics. All Rights Reserved.

Location

106 Four Seasons Shopping Center, Suite 115 Chesterfield, MO 63017, United States

How Can We Help You?

Social

© 2026 Skulytics. All Rights Reserved.