Where smarter storage meets smarter logistics.
Updated
January 8, 2026 6:32 PM
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Kioxia's flagship building at Yokohama Technology Campus. PHOTO: KIOXIA
E-commerce keeps growing and with it, the number of products moving through warehouses every day. Items vary more than ever — different shapes, seasonal packaging, limited editions and constantly updated designs. At the same time, many logistics centers are dealing with labour shortages and rising pressure to automate.
But today’s image-recognition AI isn’t built for this level of change. Most systems rely on deep-learning models that need to be adjusted or retrained whenever new products appear. Every update — whether it’s a new item or a packaging change — adds extra time, energy use and operational cost. And for warehouses handling huge product catalogs, these retraining cycles can slow everything down.
KIOXIA, a company known for its memory and storage technologies, is working on a different approach. In a new collaboration with Tsubakimoto Chain and EAGLYS, the team has developed an AI-based image recognition system that is designed to adapt more easily as product lines grow and shift. The idea is to help logistics sites automatically identify items moving through their workflows without constantly reworking the core AI model.
At the center of the system is KIOXIA’s AiSAQ software paired with its Memory-Centric AI technology. Instead of retraining the model each time new products appear, the system stores new product data — images, labels and feature information — directly in high-capacity storage. This allows warehouses to add new items quickly without altering the original AI model.
Because storing more data can lead to longer search times, the system also indexes the stored product information and transfers the index into SSD storage. This makes it easier for the AI to retrieve relevant features fast, using a Retrieval-Augmented Generation–style method adapted for image recognition.
The collaboration will be showcased at the 2025 International Robot Exhibition in Tokyo. Visitors will see the system classify items in real time as they move along a conveyor, drawing on stored product features to identify them instantly. The demonstration aims to illustrate how logistics sites can handle continuously changing inventories with greater accuracy and reduced friction.
Overall, as logistics networks become increasingly busy and product lines evolve faster than ever, this memory-driven approach provides a practical way to keep automation adaptable and less fragile.
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A closer look at PMMI’s FastTrack initiative and why it matters for growing manufacturing firms
Updated
February 13, 2026 10:44 AM
Cardboard boxes in a warehouse. PHOTO: UNSPLASH
Large trade shows are built for scale. But for small and medium-sized manufacturers, that scale often creates distance between what’s on display and what they can actually use. Too many options, too little time, and very few tools designed for companies that are still growing. That mismatch is what PMMI is trying to correct with its new SMB FastTrack Program at PACK EXPO East 2026.
That is the problem PMMI is trying to address with its new SMB FastTrack Program, launching at PACK EXPO East 2026 in Philadelphia.
PMMI — the Association for Packaging and Processing Technologies — is the industry body behind the PACK EXPO trade shows and a central organization in the global packaging and processing sector. Through FastTrack, it has created a program (not an app or a product) designed to help small and mid-sized companies navigate the show more efficiently and connect with solutions that fit their scale.
The idea behind SMB FastTrack is simple: reduce friction. Instead of asking smaller firms to sort through hundreds of exhibitors and sessions on their own, the program curates what is most relevant to them. Exhibitors that offer flexible pricing, right-sized machinery, or SMB-focused services are clearly identified with visual icons in both the online directory and on the show floor. That way, a small manufacturer can quickly distinguish between enterprise-only vendors and partners that are realistically accessible.
The same logic carries into education. Rather than treating all attendees the same, PACK EXPO East 2026 will include a learning track specifically built around SMB realities. These sessions focus on issues that smaller teams actually face—how to hire and train workers, use AI without over-investing, improve food safety, cut operating costs, and adopt technology in stages. The goal is not inspiration, but applicability: content that reflects real constraints, not ideal scenarios.
Planning, too, is built into the structure of the program. Through a dedicated FastTrack landing page, participants can access curated supplier lists, recommended sessions, and planning tools that help organize their time before they ever step onto the show floor. Tools like category search and sustainability finders are meant to narrow choices quickly, turning a massive event into something manageable.
Seen together, these elements point to a broader intention. PMMI is not simply adding features—it is reshaping how smaller manufacturers experience a major industry event. Instead of competing for attention in a space built for scale, SMBs are given clearer paths to the people, tools, and knowledge that match where they actually are in their growth cycle.
What makes SMB FastTrack notable is not the technology behind it, but the intention behind it. PMMI is recognizing that progress for small and mid-sized manufacturers depends less on spectacle and more on fit—solutions that are accessible, affordable, and adaptable. The program is designed to help companies move with purpose, not pressure.
In an industry where visibility often follows size, SMB FastTrack represents a structural shift. It treats small and medium-sized manufacturers not as a subset of the audience, but as a distinct group with distinct needs. By doing so, PMMI is quietly redefining what a trade show can be: not just a marketplace of innovation, but a usable platform for companies still building their next stage of growth.