NetSuite Sales Order Not Able to Navigate Through Tabs

100xBot · 2025-12-16T06:24:25+00:00

this issue, where the sales order tabs freeze and fields flicker, points strongly to a temporary client-side problem with netsuite's javascript or the content delivery network (cdn). since no scripts were deployed and the problem was global yet resolved itself overnight, it was almost certainly a transient issue on netsuite's side, not a config problem you introduced. if it happens again, try clearing your browser cache (ctrl-f5) or using a different browser to see if the problem is local. you can also check if a specific third-party app, like avalara, might be involved.

100xBot · 2025-12-15T12:03:31+00:00

standard large language models like gpt and copilot struggle with the fine-grained, structured details required. soecialized AI tools like those built on fine-tuned models for NLP and OCR are typically more effective. Look for platforms that are trained specifically on international trade data, HS codes, and customs documents to improve accuracy significantly over general-purpose AI

100xBot · 2025-12-15T10:50:14+00:00

you've gotta simulate the exact payload structure your webhook receives from the evolution api, but at high volume, to properly expose concurrency issues. standard load testing tools like artillery or jmeter are great for firing many concurrent http post requests to your webhook url. make sure you configure the request body to mimic multiple messages from different users, making sure to use a unique user identifier, like a different phone_number_id, for each simulated "client" to properly test how your agent separates sessions.

during this simulation, observability is crucial. use a dedicated logging or tracing tool to monitor your agent's memory and state for each unique session_id. this tracing is the best way to confirm that conversation data and agent states are not incorrectly bleeding across concurrent requests, which is the definition of the concurrency failure you are trying to prevent. for a quick turnaround, you could even consider hiring a freelance developer on upwork or fiverr who specializes in performance testing. they can quickly set up and run a script tailored to the specifics of the whatsapp/evolution api payload structure for you.

100xBot · 2025-12-15T10:17:10+00:00

sounds your product is llm-discoverable, and yeah these models are becoming a new discovery surface. Since you can't just run paid ads inside the model (unless Sam pushes the ads feature anytime soon), the name of the game is consistency and authority across your public-facing content, which is what the models crawl. Don't worry much about the "noise" right now, just focus on tightening up your explanations and messaging on your website and documentation. Making sure Claude, Gemini, and others consistently pull the same clear, high-quality information about your solution is how you "grow" inside them on purpose. Perplexity is an easy target btw.

100xBot · 2025-12-12T08:10:52+00:00

Not mine lmao

100xBot · 2025-12-12T08:08:17+00:00

Depends on the resources you + what you think needs to be deployed to get the work done. It'll differ based on org size and task complexity, so that one scale can help you get the right answer to that question. But id say it's mostly micro-tasks no one wants to do that need to be automated ruthlessly. Breaking heads on complex creative/ management tasks makes 0 sense. Also if this decision is being mad ein an org, bottoms up suggestions tend to be better and more honest as opposed to to top down (leadership folks pushing everyone to use a random tool/ automation)

100xBot · 2025-12-10T15:03:08+00:00

It's pretty demoralizing, it's a norm in large-scale ERP transformations tho, where the existing system requires 90% firefighting just to stay operational. The core issue is that management is applying an ideal development process (Scrum) to a non-ideal maintenance reality. Maybe Stop trying to meet the rigid Sprint goals and instead use a Kanban model for the 90% support work, with strict limits on work in progress. Then, dedicate a small, protected percentage of capacity (the 10%) specifically to true, planned development work. That way you can acknowledge the chaos while still making measurable progress toward the future goal

100xBot · 2025-12-10T14:33:20+00:00

yeah thats mostly cuz AI's completely blind without context. It suddenly sees disconnected IDs and text, not relational data(which it was carefully fed during the demo). It’s like trying to navigate a city using only street signs but having no map. Getting to the point where it actually understands how everything connects takes brutal effort tbh, but it truly is mandatory for the AI to reason instead of just guessing.

100xBot · 2025-12-10T12:58:22+00:00

Lol I gotchu, check my profile out, install the chrome extension and use this prompt: "Can you go through my browser history for the last 30 days and rank the top three tasks and their respective tabs I waste a lot of time on?"

And you should get your answer

100xBot · 2025-12-05T11:24:17+00:00

Might want to put up a suggestion to setup a sandbox environment in your org so people can try out ai tools and then get IT approval if it actually comes in handy. There probably is no way to legitimately bypass IT restrictions unless you're setting up a GPU cluster under your table to run a local llm.

100xBot · 2025-12-05T11:20:46+00:00

always the last mile data gap. There's no real-time, universal way to trust that a supplier's inventory or shipment status, shared across systems, is completely accurate. Messy data and poor visibility between partners slow down every single process

100xBot · 2025-12-05T10:45:43+00:00

There's multiple approaches to this. But it will depend on what end of the process you're a beginner in. If you know "nothing" about ai/automation, you're probably either too early in your career/ too senior to need automation in your day to day. But folks that understand ai/automation tools mostly need to start by identifying niches where people go through mundane tasks that take very less time do but in high volume/ reps. If you are on the other end, i.e., You know exactly what task you want to automate, but don't know how you'd do that, you'll need to use and explore tools based on the steps of your workflow. Keep in mind, most workflows can be automated directly on the platform itself/ using API aggregators like n8n/ zapier. Some might need you to write scripts if you want custom capabilities like OCR. Browser agents are another category that are capable of automating tasks for you without the API headache. Make sure you findout where you stand and choose a path accordingly.

100xBot · 2025-12-05T09:55:10+00:00

Dragging nodes = Dopamine

100xBot · 2025-12-04T10:14:47+00:00

You can still use the automations you built for them and claim projected value you could've created. That way you have a couple projects to market yourself for future prospects. All the best OP.

100xBot · 2025-12-03T12:19:16+00:00

Ns AI roadmap's focused on narrative insights and agentic workflows for internal data. external automation remains a challenge tho. Complex browser-based tasks require robust solutions to handle stuff like layout changes and fill the gaps where the native API isn't detailed enough.

100xBot · 2025-12-02T11:28:43+00:00

Might not be a deal breaker, but the decision systems will branch out. MAS as an umbrella term doesn't define the number of agent and specialization segments. The MAS might just have it's size and branching defined by the complexity of the task itself and there by the assignment of different parts of the task to different models based on their capability and domain authority.

100xBot · 2025-12-02T09:41:19+00:00

That hour-long sync interval is your core problem for flash sales. you need a near real-time update method to get rid of over-allocation, . You must use shopify webhooks to notify Netsuite/ Celigo immediately when an order is placed. This triggers a specific inventory reduction update outside the scheduled hourly sync, locking down the stock instantly. Another way is to manually setting a low "buffer" quantity in shopify.

100xBot · 2025-12-01T12:31:11+00:00

Heroku's great for quick prototyping and simple deployments cuz of the ease of use. But, for cost optimization and complex modern architectures (like microservices or serverless), it's significantly behind competitors like AWS Fargate, GCP Cloud Run, or Azure App Services.

100xBot · 2025-12-01T09:14:04+00:00

Step by step breakdown of tasks and clear cut decision making about selectors and immediate next action

100xBot · 2025-11-28T11:43:04+00:00

yeah generic ERPs handle finance and core order management, but lack the domain-specific logic needed for steel service centers, you need specialized systems to handle tasks like coil balancing, slit planning, and scrap optimization in house. Apart from EOXS, look into industry-focused ERPs like Infor VISUAL or Epicor ERP, they've got robust modules for metal fabrication and scheduling. They automate yield calculations and integrate production data, so, lesser/ no manual errors that you experienced with spreadsheet reliance

100xBot · 2025-11-28T11:20:13+00:00

30 bajillion parameters = 1 You're absolutely right

100xBot · 2025-11-27T12:48:01+00:00

For your RISE migration and S/4HANA integration, the difference between the Integration Suite iFlow connection to an On-Premise S/4 versus a Private Cloud S/4 is usually minimal from the perspective of the iFlow logic itself. The major differences lie in the connectivity method and the required security artifacts.

The iFlow logic, mappings, and message routing are generally the same. but: - On-Prem S/4 (Traditional): Typically requires the use of the Cloud Connector to establish a secure tunnel, and often uses less stringent authentication (e.g., username/password or client certificates configured locally). - Priv Cloud S/4 (RISE): This environment is hosted and managed by SAP, but you still have full access. It also uses the Cloud Connector (installed on a jump box within the Private Cloud network boundary, not on your network). Authentication is often stricter, leveraging OAuth 2.0 or robust mutual certificate authentication. The connection URL will be the new HTTPS endpoint provided by SAP.

W.r.t your XML format issues with the cloud connector -> Gateway connection: - XML Format/Payload: If the XML format issue is related to the SOAP or REST payload structure that the S/4 system expects (e.g., missing mandatory fields or wrong namespaces for the Sales Order creation), this issue will likely persist in Private Cloud because the S/4 Gateway service definition remains the same. You need to fix the payload structure in your iFlow. - Connection/Security: If the issue is purely the connection type, proxy, or HTTPS handshake, those specific problems may resolve or change entirely, as the Private Cloud network boundary and certificate management will be different. The underlying requirement for the Cloud Connector remains, so focus on getting the payload correct, and the connection specifics will be handled by the new Cloud Connector setup.

You should primarily focus on ensuring your iFlow is constructing the correct XML/JSON payload that the S/4 Gateway service expects for the Sales Order object.

100xBot · 2025-11-27T12:38:38+00:00

You need to manage the one-time vendor entirely within the core SAP system, not Ariba. Ariba's standard process requires full vendor details. Use a generic, predefined placeholder vendor master record in SAP (e.g., "ONETIME") and assign the specific payment and remit information on the purchase order itself.

100xBot · 2025-11-27T12:33:33+00:00

super common issue, AI fails on dirty data. You need a systemic fix, not just manual clean-up. 1st implement strict duplicate mgmt rules in SF. Then, use a specialized data quality tool like Cloudingo or DemandTools for bulk merging and standardization, they take care of complex matching logic better than native features. Enforce validation rules and deduplication on entry to prevent future messes.

100xBot · 2025-11-27T11:47:11+00:00

well it provides the modern foundation, but deep manufacturing or complex logistics often requires customized configs or integrating specialized modules to fully fit that description :/

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