Discover how mid-market retailers can bring order to digital content, connect brand assets with product data and move with the speed and flexibility needed in an omnichannel market increasingly shaped by AI and agent-led shopping.
Download the BluepaperProduced by InternetRetailing in association with Canto
82% of organisations are producing more content than a year ago, with 75% linking that increase directly to AI. Yet only 43% have standardised and automated their workflows – resulting in wasted time, underused assets and, for 39% of teams, lost content budget.
65% of marketing teams able to make real-time product content updates report significant revenue growth, compared with just 16% of teams that are slower to respond.
Agent-led shopping activity has increased by more than 200% year-on-year, while traditional search engine traffic is forecast to fall by 25% by 2027 as more consumers turn to AI-powered shopping assistants.
See how bringing digital asset management (DAM) and product information management (PIM) together in one active platform can stop teams recreating files they cannot find and reduce the errors caused by manual data entry.
Learn how retailers can shorten digital product launch cycles from months to days, by automating tasks such as metadata tagging, channel-specific formatting and direct distribution to platforms including Amazon and Shopify.
Understand how Agent Engine Optimisation (AEO) can help you structure product information so that products remain visible and understandable to AI shopping agents such as ChatGPT and Claude, as well as to shoppers across global marketplaces.
Two-thirds of marketers spend the equivalent of 3.5 weeks a year simply looking for digital assets, while 38% of teams recreate content that already exists because they cannot find the original.
40% of shoppers who abandon a purchase because of a frustrating user experience go straight to a competitor. Meanwhile, brands that maintain consistent product information across channels have been shown to outperform competitors on revenue growth by 4% to 8%.
More than 50% of content teams now use AI tools, yet only 35% are confident that employees are using approved assets – highlighting the limitations of traditional ‘digital filing cabinets’ and the growing need for more active, context-aware governance.
An introduction to why content readiness matters as commerce becomes increasingly influenced by AI.
An exploration of channel complexity, fast-moving microtrends and the limitations of keeping DAM and PIM systems in separate silos.
A look at Canto’s active DAM approach and how bringing product information and brand assets together can reduce manual work and simplify day-to-day operations.
A deeper look at three key capabilities: AI-powered automation, connectivity with the wider AI ecosystem through MCP, and direct delivery across multiple channels.
Examples from global technology company Teledyne and skincare brand Marini SkinSolutions, showing how the approach works in practice.
Practical considerations for commercial leaders looking to futureproof their operations and compete with the agility of much larger organisations.
By connecting Canto DAM with its CMS, Kontent.ai, Teledyne automated web image resizing and created a secure, central source of truth for teams and stakeholders around the world.
By implementing Canto DAM for Products and connecting it directly with Shopify, the team brought 17,000+ assets together with product data, helping keep online listings accurate and up to date.
Canto is a pioneer in digital asset management with more than 35 years of experience. Its Canto DAM for Products platform brings product information and creative assets together in one place, using embedded AI to help teams work more efficiently, respond faster and get products to market more quickly.
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