EDITED Unlocks Retail AI for Apparel Manufacturers

NEW YORK & LONDON – March 26, 2026 – Retail intelligence leader EDITED today launched its new AI-powered Manufacturer Intelligence package, a move set to recalibrate the power dynamics within the global apparel supply chain. The new offering provides apparel manufacturers with direct access to the same sophisticated, AI-driven retail market insights previously reserved for the world’s leading brands and retailers, signaling a major shift toward data democratization from the factory floor to the storefront.

With visibility across 110 global markets, the platform is designed to empower manufacturers to track emerging trends, benchmark competitor assortments, and proactively identify opportunities in retailer assortments. This enables them to move beyond the traditional role of reactive order-takers and become indispensable strategic partners.

“EDITED has helped brands and retailers make smarter decisions with market data for years,” said Brian Tomz, Chief Product Officer at EDITED, in the announcement. “Now we’re creatively applying that same AI to help manufacturers stay ahead of the market and become even stronger partners to their retail customers.”

Leveling an Uneven Playing Field

For decades, the apparel supply chain has operated on a distinct information imbalance. Manufacturers have largely depended on retailers for direction, receiving purchase orders and design specifications with limited context of the end-consumer or the broader competitive landscape. This reactive posture often leads to production decisions based on lagging indicators or a retailer's isolated view, increasing the risk of overproduction, missed trends, and misaligned inventory.

EDITED's Manufacturer Intelligence package aims to dismantle this structure. By providing manufacturers with the same real-time view of the market as their retail clients, it creates a common language for collaboration. A manufacturer can now enter a buyer meeting armed not just with samples, but with data validating a new colorway's momentum, evidence of a gap in the retailer's current assortment, or insights into a competitor's successful pricing strategy. This transforms the conversation from a simple sales pitch into a strategic, data-backed proposal for mutual growth.

The platform's global scope is a critical component of this empowerment. Access to insights from 110 different markets allows manufacturers to identify regional nuances, spot trends before they go mainstream, and advise their retail partners on how to adapt assortments for a global consumer base. This broad perspective is something that has been historically difficult and cost-prohibitive for most manufacturing entities to acquire on their own.

The Technology Powering the Shift

At the heart of this new offering is a formidable AI engine that EDITED has been honing for over a decade. The platform processes an immense volume of data, tracking over 3.7 billion unique SKUs and drawing from more than 10 years of historical retail data. This deep repository allows the AI to not only identify what is happening now but also to analyze trend trajectories and predict future performance with a high degree of confidence.

The technology leverages a suite of advanced AI capabilities. Computer vision analyzes product imagery to categorize items by style, pattern, and color, while machine learning models normalize and structure vast datasets from text and image inputs. A key innovation is EDITED Match, a proprietary system that uses multimodal (text and image) embedding to achieve over 93% accuracy in matching like-for-like products across different retailers and markets. For a manufacturer, this means they can precisely benchmark their proposed product against a competitor's bestseller, comparing everything from price point and discount levels to sell-out rates.

Furthermore, the platform incorporates generative AI to translate complex data dashboards into clear, narrative summaries. This helps users quickly grasp strategic takeaways without needing to be data scientists, making the insights accessible and actionable for product development and sales teams within manufacturing organizations.

From Order Takers to Market Shapers

The immediate goal of the Manufacturer Intelligence package is to solve four key challenges that have long plagued apparel producers: establishing credibility with buyers, identifying whitespace opportunities, validating trend momentum to secure larger orders, and pinpointing assortment gaps across retailers.

By addressing these pain points, the platform enables a profound evolution in a manufacturer's business model. Instead of waiting for a request, a producer can now proactively identify an unmet need—such as a lack of sustainable linen shirts in the mid-range market—and present a fully-formed, data-validated proposal to a retail partner. This capability to spot whitespace before competitors allows manufacturers to become sources of innovation and growth for retailers.

Moreover, the ability to demonstrate a trend's momentum with hard data de-risks investment for both parties. A manufacturer can justify a larger production run for a specific style by showing its increasing sell-through rate and growing consumer demand across multiple retailers, encouraging buyers to commit to bigger orders with more confidence. This alignment reduces waste from underperforming products and maximizes revenue from winning items.

While specific ROI case studies for this new package are forthcoming, the proven success of EDITED's platform with retailers offers a compelling preview. Brands like PVH have used its insights to increase sales by 27%, while retailers like MANGO have driven significant e-commerce growth. By applying this same analytical power at the source of production, manufacturers can expect to see similar benefits in the form of increased sales, improved margins, and reduced inventory risk.

Reshaping the Manufacturer-Retailer Relationship

The introduction of data parity is poised to fundamentally reshape the dialogue and dynamic between manufacturers and their retail customers. While some might view a more informed supplier as a challenge to negotiating leverage, the prevailing trend in modern supply chains is toward greater transparency and collaboration as a means of achieving shared success.

Retailers stand to gain significantly from having more strategic manufacturing partners. A producer who understands the market can offer more relevant product suggestions, help the retailer react faster to emerging trends, and co-create assortments that are better aligned with consumer demand. This collaborative approach can lead to a more agile and resilient supply chain, capable of navigating the fashion industry's notoriously rapid cycles.

Ultimately, the platform encourages a shift from transactional, often adversarial relationships to long-term, symbiotic partnerships. When both manufacturer and retailer are looking at the same data, decisions can be made faster and more effectively, reducing friction and focusing efforts on the common goal of delivering products that customers want to buy. By equipping both sides of the partnership with a clear, data-driven view of the market, this new intelligence offering paves the way for a more efficient, responsive, and ultimately more profitable fashion ecosystem for all involved.