EDI for Dynamics 365 is a business risk, not just a back-office task: what Celigo heard at Community Summit 2026. Published Oct 19, 2026 Nate Briant Lead, Technical Product Marketing Engineer IT leaders said they lack visibility into failed transactions, lack control over trading partner connectivity, and can't resolve errors without waiting on a vendor. They want EDI they can see, own, and fix themselves, with validation up front, faster partner onboarding, and AI-assisted error resolution. Community Summit 2026 brought together thousands of Microsoft Dynamics users, partners, and ISVs. Celigo went expecting to talk about integration broadly. Celigo left having talked about EDI almost nonstop. For organizations running Dynamics 365 Business Central and F&O, EDI was the issue that kept coming up. Here are the themes that defined its conversations. How do you get visibility into EDI transactions in Dynamics 365? Most managed EDI providers handle connectivity and mapping behind the scenes, so IT teams can't see which transactions succeeded, which failed, or why. The fix is EDI that runs on the same platform as your ERP integration, so every transaction is traceable from receipt to posting. Here's why that matters. EDI transactions are the lifeblood of the business. Purchase orders, invoices, advance ship notices (ASNs), and inventory feeds flow between companies and their largest trading partners every day. When those transactions fail, revenue and customer relationships are on the line. Yet most organizations Celigo spoke with described their EDI setup as something they can't see into. A managed provider sounds convenient until something breaks. Then IT is left opening a support ticket and waiting while a retailer asks why their order hasn't been acknowledged. Three gaps came up repeatedly: * Lack of EDI visibility. Teams can't tell which transactions succeeded, which failed, or why. * No control over connectivity. Adding a trading partner, changing a protocol, or adjusting a map means going through the vendor. * No self-service error resolution. Even simple fixes require outside help, which turns minor errors into multi-day delays. Attendees didn't describe these as inconveniences. They described them as strategic threats to the business, and they're actively looking for a way to reduce that risk. How do you prevent EDI chargebacks with document validation? Alongside the strategic concerns, a lot of the conversation was practical. Document validation was a recurring frustration. Organizations want transactions checked against trading partner requirements before they're sent, not rejected afterward with a chargeback attached. Getting the fundamentals right is still a differentiator because so many existing solutions don't. How do you speed up EDI trading partner onboarding? Onboarding speed came up as a direct business constraint. Every new retailer, distributor, or supplier relationship starts with an EDI connection, and when that takes weeks or months, growth slows with it. Businesses want trading partner onboarding to be repeatable and largely self-serve, with the connection to Business Central or F&O handled as part of the process rather than as a separate project. What is agentic EDI? Agentic EDI is a system that goes beyond dashboards: it detects a failed transaction, explains what went wrong in plain language, suggests or applies a fix, and helps onboard a partner by interpreting their specification. This was the newest theme at Community Summit, and it's gaining momentum fast. Attendees want more than visibility. The expectation is shifting from "give me visibility" to "help me act." What is the best way to run EDI for Dynamics 365 Business Central and F&O? These conversations reinforced why Celigo built EDI into the Celigo integration platform rather than treating it as a separate product. Because EDI runs on the same platform as your Business Central or F&O integration, you get: * Full EDI visibility: every transaction, from receipt to ERP posting, in one place * Control over connectivity and mapping, so your team owns the relationship with each trading partner * Self-service error resolution, with errors surfaced in context so your team can fix and retry without waiting on a vendor * Built-in document validation against trading partner requirements before transactions are sent * Faster partner onboarding using prebuilt templates and a repeatable process * An agentic experience that helps your team understand, resolve, and prevent issues rather than just report them Take your next step. The Microsoft Dynamics community is done accepting EDI as a necessary evil. Organizations want to own it, see it, and fix it themselves. That's the direction Celigo is building toward, and Nashville confirmed Celigo is building in the right place. Listen to Nate and Jeremy's discussion about Managed EDI vs. Modern EDI on the Builder's Hub Podcast. If you're ready to talk to someone about how to modernize your EDI solutions, request a demo.

TecAce Software launches ai-driven e-commerce operations automation project with iKamper USA. "Start with Proven Areas, Then Scale Step by Step" - Three-Month Initial Engagement to Demonstrate Automation Impact BELLEVUE, Wash. and SEOUL, September 1, 2026 - TecAce Software, Ltd. ("TecAce"), an AI and cloud-based software development company, announced that it has launched "iKamper AX Initial Engagement," an AI-driven operations automation project, together with premium rooftop tent brand iKamper USA ("iKamper"). The collaboration aims to assess iKamper's end-to-end e-commerce and order fulfillment processes and automate repetitive tasks, reducing the operational burden that has accumulated during the company's rapid growth. Dozens of automation opportunities identified in the on-site assessment. Ahead of the kickoff, TecAce carried out an on-site assessment and identified dozens of improvement opportunities across iKamper's current systems and business processes. iKamper handles order management, inventory, and customer support by integrating multiple systems including Shopify, NetSuite, Celigo, and Intercom, and the assessment found considerable room to refine data flows and processes across those systems. The "AX" in the project name stands for Automation & AI Transformation. It reflects an approach that goes beyond a simple system review or the adoption of individual tools, applying AI technology to real operational workflows in order to transform the way work itself is done. A three-phase approach: validation | selective implementation | stabilization. The project runs in three phases over roughly three months. In the first phase, TecAce diagnoses the data flows and systems of record in the current environment, validates the state of system-to-system integration along with the automation potential of chatbot, order processing, and marketing workflows, and finalizes priorities. In the second phase, a small number of initiatives with high feasibility and expected impact are selected from the validated items and actually implemented, with results before and after implementation compared in numbers. In the final phase, the focus shifts to embedding the implemented items into day-to-day operations and applying a monitoring framework, reinforcing existing gains rather than expanding into new areas. Throughout the project, TecAce reports progress on a weekly basis and demonstrates completed work each week using real data, so that the client can track progress through working results rather than deliverable documents. A principle of scaling only as far as validated. The core of the project lies in gradually widening the scope from areas where impact has been verified, rather than automating every system at once. TecAce explained that this approach lets the client quickly feel tangible returns relative to the initial investment while minimizing risk to existing operations. "This collaboration takes the issues identified in iKamper's actual operating environment as its starting point, and focuses on validating and implementing the highest-impact areas first," said a TecAce project manager. "Our goal is to show, through this three-month initial engagement, that automation can translate into real business results." About TecAce Software, Ltd. Founded in 2000, TecAce Software, Ltd. has spent 26 years delivering software development and global operations services. Headquartered in Bellevue, Washington, the company also operates an office in Allen, Texas, and a development organization in Seoul. Starting out in embedded OS development, TecAce expanded into mobile, IoT, and cloud, and has delivered more than 1,000 projects, with a current focus on AI transformation and cloud operations. The company was named to the Inc. 5000 list of high-growth U.S. companies in 2020 and 2024, was recognized as Washington State's top IoT development company, and participates in the SKT K-AI Alliance. About iKamper USA. iKamper entered the market in 2017, when it unveiled Skycamp - a hard-shell expandable rooftop tent that deploys in under a minute - on Kickstarter, raising $2.37 million and setting the largest campaign record in the tent category. Within six months of starting production, the company was shipping to 46 countries, and today it designs and manufactures rooftop tents and outdoor gear, including the fourth-generation Skycamp, directly at its Seoul headquarters. iKamper has won the Red Dot Design Award three times (2018, 2019, and 2020) and holds ISO 9001 and ISO 14001 certifications. Its U.S. entity, iKamper USA, is based in the Pacific Northwest and runs North American e-commerce channels and customer community programs.

Celigo announces Data Ingestion for Snowflake. Published Jun 25, 2026 Updated Jul 8, 2026 Craig Rewerts Companies are stitching together pipelines, connectors, and scripts. These systems break, require constant fixes, and slow everything down. Data shows up late, incomplete, or not usable, and teams spend more time maintaining pipelines than using data. This is happening even as companies standardize on platforms like Snowflake. Snowflake provides a powerful foundation for enterprise data, and companies also need a reliable ingestion and integration strategy to keep data flowing across the business. Without that strategy, teams can end up with a patchwork of tools that is difficult to manage and trust. You can move data into Snowflake with a connector and layer AI on top, and in simple cases that works. But business critical systems are not static. Data changes constantly, schemas evolve, APIs break, and business logic ends up scattered across scripts and models. What starts as a straightforward setup quickly becomes difficult to maintain and harder to trust. Celigo is built for this reality. It keeps data reliable as systems evolve and connects it back to the business so it can be used in key processes. Celigo Data Ingestion provides a single intelligent pipeline that replaces multiple flows, moving data into Snowflake faster and with less overhead. It is easier to build and maintain, reduces reliance on IT, and delivers reliable, warehouse-ready data. It also keeps working as things change. As schemas evolve, applications change, and new systems come online, Celigo pipelines adapt automatically and keep running without manual fixes. This leads to fewer errors, less maintenance, and predictable performance without added engineering effort. Celigo also goes beyond ingestion. Once data lands in Snowflake, it does not just sit there. It can be operationalized and pushed into business applications, trigger workflows, and support real-time decisions. Ingestion becomes the first step in using data, not just storing it. This matters even more with AI. Models depend on data that is current, complete, and usable. Celigo keeps data up to date, adapts to changes, and connects it to the systems where work happens, so AI can act on the right business context, not incomplete data. All of this runs on a single platform that also supports APIs, automation, agents, and EDI, giving teams consistent governance and visibility across every integration without managing separate tools. Let's talk. See Celigo Data Ingestion in action with Snowflake. Achieve data readiness for AI with data ingestion. Join Celigo, Inc. to see how Celigo moves data from ingestion to activation - and what that looks like in practice with Snowflake.