ConverSight

09/02/2026

Your Acumatica lead times were set once, and your suppliers quietly stopped honoring them.

Nobody notices. The item record still says four weeks, but the receipt history says eight.

So every buy against that vendor goes out a month late. The buyer catches the shortage, expedites, eats the freight premium, then gets asked in the Monday meeting why coverage slipped again...

The obvious fix is to audit the lead times and update them, but that fails for a reason that has nothing to do with effort.

It's a moving target. Supplier performance drifts by SKU and by season, so a number you correct in March is wrong again by June. Set and forget, with fresher bad data.

Try treating lead time as something you measure instead of something you set. The signal is already sitting in Acumatica: every PO, every receipt date, every promise a vendor missed. Almost nobody reads it.

In last week's session, Vlad Bekker showed what happens when an AI agent does. ConverSight's Supply Planner flagged a single supplier with 95 of its 117 SKUs sitting at critical stockout risk, and sized the buy quantities against observed lead time rather than the number in the item master.

It also showed its work. Current coverage, demand over the period, lead time exposure, and why it landed on that quantity. Buyers spot check that for a month or two. Then they stop.

The full recording is on demand, so you didn't miss it.

Watch here: https://ow.ly/HZw450ZHGFt

09/01/2026

Throwing a frontier model at every step of a back-office workflow is like hiring a PhD to sort your laundry.

That's Tim Rodman's line, not ours, and it is the most useful thing we have heard about AI in ERP this year.

Tim joined Ganesh Gandhieswaran on the Data Insights Podcast to talk about which use cases are actually working, why most back-office processes are mostly deterministic, and why ERP systems are so hard to replace for reasons that have nothing to do with technology.

Worth 45 minutes if you are trying to work out where to start.

Link here: https://conversight.ai/podcast/finding-the-ai-use-cases-that-actually-matter-in-mid-market-erp/

08/21/2026

Acumatica already has the answer to your next stockout. It's just sitting a report request away.

And that's the real gap for most users: the delay between having data, getting insights, and acting on it.

On August 25, we're showcasing how to close that gap with ConverSight + Acumatica.

We'll be covering:

🟢 Turning existing Acumatica data structures into instant answers
🟢 Bringing sales, purchasing, and inventory data into one unified view
🟢 Spotting stockout risk three weeks before it hits the floor
🟢 Replacing a static weekly pull with a question you can ask anytime

If Acumatica is already your system of record, this is about getting more out of it, faster, not replacing it.

Register below. Link's in the first comment!

08/17/2026

One day left to grab a seat for tomorrow's live session on AI agents, optimized for Acumatica.

Net at Work and ConverSight are showcasing how three agents, the Supply Assurance Agent, Demand Planner, and Inventory Optimizer, connect directly to the Acumatica Generic Inquiries you already run, so your team spends less time pulling data and more time deciding what to do with it.

If your next S&OP meeting involves reconciling numbers across spreadsheets, this is 45 minutes well spent.

📅 Tomorrow, August 18, 2026
🕑 2:00-2:45 PM ET
💻 Virtual and complimentary, live demo plus Q&A

No matter where you are in the AI journey, this session will show you the possibilities at every stage!

Register here: https://ow.ly/qxu950ZyxAS

08/13/2026

Proud moment: MAVPAK's story with Conexus Indiana is one we keep coming back to, and we got to play a part in it. 💪

MAVPAK runs vendor-managed inventory for customers across ecommerce, food and beverage, and medical, on top of packaging supply and logistics. They used to manage all of it with pen-and-paper warehouse counts. That works, until you start scaling fast.

Here's what that growth looked like:

✅ Warehousing space grew from 140,000 to over 700,000 square feet in three years
✅ Headcount climbed from 6 to 35 employees over that same stretch
✅ A third facility opened, in Whitestown
✅ Saving the equivalent of a full-time employee's workload every year

We helped get them there with AI that actually does the thinking behind the ordering.

It forecasts what each customer will need next based on their usage history, facility size, and lead times, then triggers the order automatically.

No one has to watch a threshold and act on it by hand. Their team can ask questions in plain language instead of building reports, and the results flow straight into their ERP.

As Brantley Armour, MAVPAK's IT Systems Manager, put it: "AI is a tool that's here to help expedite our processes and gain efficiencies. We're not training anyone out of a job."

👉 Read about their AI adoption journey here:

MavPak Taps Local AI Provider to Streamline Workflows and Automate Ordering for its Industrial Customers

08/12/2026

Your Acumatica system already holds the data your supply chain team needs.

The opportunity is putting it to work automatically, not just reporting on it.

Join Net at Work and ConverSight on August 18th for a live look at how AI agents extend your existing Acumatica environment, no rip and replace required.

💡Here's what we'll cover:

✓ Extend your Acumatica GIs
Connect directly to the Generic Inquiries you already have to generate alerts and recommendations, right inside the ERP you already run.

✓ Meet three agents built for Acumatica
The Supply Assurance Agent, Demand Planner, and Inventory Optimizer monitor your business, flag supply risk, and recommend purchase orders before they become a problem.

✓ Turn reports into action
Get instant visibility into inventory, purchasing, and forecasting decisions, right from the data Acumatica already tracks.

✓ Bring S&OP one number
Everyone in the room works from the same real-time view, built on your Acumatica data.

How much more could your team do with the Acumatica data you already have?

Registration here: https://register.gotowebinar.com/register/3270598948759451485

08/06/2026

A retailer we know tripled revenue in four years. Then found $20 million in inventory sitting on shelves, and a cash flow problem nobody saw coming.

That's the pattern Ganesh Gandhieswaran (CEO, ConverSight) and Kendrick Hair (Chief Evangelist, Fishbowl) dig into on the latest Data Insights Podcast: growth doesn't stall because companies run out of data. It stalls because nobody's turning that data into a decision fast enough.

In this episode, Kendrick shares:

🟢 An apparel brand that scaled from 50 SKUs to 18,000 almost overnight, and why that kind of growth breaks manual planning

🟢 How one joint customer cut back orders by 73% after moving from manual dead-stock spreadsheets to an agent that flags slow movers and recommends discounts on its own

💡His line that stuck with us: putting AI on top of bad data is like hiring the smartest employee in the world and mislabeling every filing cabinet in the office

Watch the full episode today - link in the comments!

08/05/2026

📅 Join us on August 12th for 'AI for Sage' and our spotlight on Athena, the AI agent designed to close the loop between decision and action.

Athena doesn't just generate insights. She recommends, executes, and learns - extending the value of your ERP rather than replacing it!

Save your spot and see what AI-driven action with Sage really looks like in this special 'quick-hit' webinar, hosted by our partner SWK Technologies, Inc.

Registration link in the comments!👇

08/04/2026

In construction, a single slip ripples across the entire project — blowing budgets, stalling schedules, and eroding already-thin margins. 🏗️

The problem usually isn't a lack of data. It's that project managers are compiling reports by hand, procurement is reacting to shortages after the schedule is already hit, and executives don't see the risk until it's too late to act.

Our new whitepaper, Agentic Intelligence for Construction, shows how AI agents change that — flagging long-lead items weeks ahead of time, redeploying surplus inventory before an emergency buy, and tracking every vendor commitment against the project it feeds.

🟢 The payoff: fewer cost overruns, stronger procurement planning, higher resource utilization, and faster decisions across the entire project lifecycle.

Read the full whitepaper 👉 https://ow.ly/CB3v50ZwciG

07/21/2026

🌙 Sunday, 11:47 PM.

Your planner is asleep, but the Forecasting Agent isn't.

By the time Monday hits, it's already scanned the weekend's data, flagged the SKUs drifting off-plan, and staged replenishment recommendations — no meeting room required.

💡 That's the shift we break down in our new guide: how demand planning moves from monthly guesswork to decisions that execute themselves, and what it takes to get there.

Read all about it in "The Definitive Guide to AI Demand Planning". 👇 https://ow.ly/BZE050ZoxjY