All Posts

How Retailers Can Keep Up With Content Demand Without Increasing Costs

Insights
Written by
SJC
A conversation with Dave McGrath, executive vice-president of operations for SJC’s Communications Group and GM of SJC Content

Retail marketers are being asked to deliver more assets, in more formats, across more channels. All without adding cost, slowing down or compromising brand control. From e-commerce and social to retail media, in-store activation and personalized customer experiences, the pressure on content operations has never been higher.

To understand where traditional production models are breaking down, and what retailers can do about it, we spoke with Dave McGrath, executive vice-president of operations for SJC’s Communications Group and GM of SJC Content. With decades of experience leading high-volume production for major Canadian retailers, Dave has seen how duplicated effort, late changes, missing assets, versioning complexity and approval bottlenecks can limit speed and consistency.

As the lead architect behind Content Factori™, SJC’s AI-powered content automation platform, Dave explains how the company is bringing data, automation, AI and human expertise together to create a more connected content execution model that helps retailers scale production, maintain control and prepare for the next generation of retail marketing.

Why is this the right time for brands to rethink their content production strategy?

The content demands on retailers are increasing dramatically. Retailers need more versions, more personalization, more channels, more speed and more measurable outcomes. At the same time, marketing teams are being asked to control costs and improve efficiency.

Traditional production models were not built for that level of complexity. A retailer may have one team building flyer content, another team building e-commerce assets, another producing social, another managing vendor-funded content and another handling signage or promotional execution. That creates duplication, delays and inconsistency.

The opportunity now is to move from a manual production model to a connected content execution model. That is where data, workflow automation, AI and human expertise work together. For retailers, this is not just about producing content cheaper. It is about building a content engine that can support growth, speed, personalization, retail media and better customer experiences.

Content Factori™ was built by content production experts, not a software company. How did SJC’s experience shape the platform?

That is one of the most important things about Content Factori™. We did not start by saying, “Let’s build software.” We started with decades of experience actually producing high-volume retail content for some of Canada’s largest brands. We understand the operational realities: late pricing changes, missing assets, versioning, approvals, compliance, bilingual requirements, brand consistency, merchandising changes and the pressure to hit deadlines every week.

That experience shaped the platform from the inside out. Content Factori™ was built around real production problems, not theoretical ones. It reflects how retail content actually gets made, from intake, data transformation, offer management, page and asset creation, proofing, approvals and final delivery.

Because of that, it is not just a technology platform. It is a production operating model supported by technology.

Many AI tools can generate content. What makes Content Factori™ different?

A lot of AI tools can generate an image, a headline or a piece of copy. That can be useful, but it does not solve the broader production challenge for a retailer. What makes Content Factori™ different is that it brings AI into a controlled production workflow. It connects AI to the retailer’s product data, brand standards, templates, approvals, assets and channel requirements.

So instead of AI being a disconnected tool, it becomes part of a structured content engine. The difference is control, scale and repeatability. Retailers do not just need creative ideas. They need accurate pricing, correct product information, approved assets, brand-compliant layouts, channel-specific outputs and auditability.

Content Factori™ is designed to help retailers use AI safely and effectively inside the realities of enterprise content production.

Content Factori™ brings together data, automation and AI. How do those elements work together to help marketers create more relevant and effective content?

The best way to think about it is that data provides the foundation, automation provides the speed, and AI provides the scale and intelligence. The data tells us what products, offers, prices, regions, channels and customer requirements need to be reflected. Automation takes the repetitive manual work out of the process; things like transforming product data, applying rules, creating templates, managing versions, routing approvals, and preparing outputs.

AI then helps accelerate content creation, image generation, copy development, adaptation and optimization, but all within the rules and guardrails of the brand.

When those three things work together, marketers can move faster, but they can also be more relevant. They can create content that is specific to a channel, a region, a promotion or a customer segment without rebuilding everything from scratch.

That is where the real value is. It is not just faster production. It is a smarter production.

One of the biggest concerns marketers have about AI is losing control of their brand. How does Content Factori™ address that challenge?

That concern is absolutely valid. Retailers have spent years building their brand, and they cannot risk losing control of tone, design integrity, accuracy or compliance. Content Factori™ addresses that by putting structure around AI.

The platform is built around brand rules, approved templates, approved assets, workflow controls, human review and defined approval processes. AI is not operating in isolation. It is working inside a controlled environment. For example, a retailer can define brand standards, channel requirements, image guidelines, copy rules, offer structures and approval paths. AI can then help produce or adapt content within those boundaries. So the goal is not to replace brand governance. The goal is to strengthen it.

Content Factori™ gives marketers the ability to move faster while still maintaining control over brand, quality and accuracy.

What business outcomes are clients seeing beyond production efficiencies?

Production efficiency is usually the first benefit people see, but it is not the only one. Retailers are also seeing the opportunity to improve speed-to-market, reduce errors, increase consistency, support more channels, and create more personalized or localized content.

There is also a strategic benefit. When content production becomes more structured and data-driven, it becomes easier to support retail media, vendor-funded programs, e-commerce growth, in-store activation and customer lifecycle marketing.

That means Content Factori™ can help move content from being viewed as a production cost centre to being part of a growth engine. For mid-to-large retailers, that is a major shift. The conversation becomes less about “How do we get this flyer or asset out the door?” and more about “How do we build a scalable content capability that supports the entire business?”

What types of industries and organizations are seeing the greatest value from Content Factori™?

The greatest value is with organizations that have high-volume, high-complexity content needs. Retail is the clearest example — especially grocery, mass retail, pharmacy, home improvement, fashion, general merchandise and other categories where product data, promotions, pricing, imagery and channel execution are constantly changing.

But the model can also apply to any organization that needs to create a lot of structured content across multiple channels. That could include financial services, telecom, automotive, healthcare, travel and multi-location brands.

The common thread is complexity. If an organization has a lot of products, a lot of channels, a lot of approvals and a lot of repeated production work, Content Factori™ can create value.

What do you think the future of content production looks like, and what should marketing leaders be doing now to prepare?

The future of content production will be more connected, more automated, more data-driven and more personalized. I do not think the future is simply AI replacing people. I think the future is AI, automation, data and human expertise working together in a much smarter operating model.

Marketing leaders should be looking at their current content supply chain and asking some important questions: Where are we duplicating effort or relying too heavily on manual work? Where are delays happening, and where are we losing brand consistency? Where could data and automation help us move faster? And importantly, how do we prepare for a world where content needs to be more personalized, more measurable and available across more channels?

The organizations that start building that foundation now will have a real advantage. They will be able to move faster, respond to the market more effectively and create better customer experiences without overwhelming their teams. That is really what Content Factori™ is about: helping brands prepare for the next generation of content production.

Ready to see how Content Factori™ applies to your brand? Book a live demo through our platform landing page, or contact Antonella D'Elia, vice-president of retail accounts, SJC Content, at antonella.delia@stjoseph.com.