AI/ML & advanced analytics for manufacturers | Helping SMB Manufacturers use data to improve operations, margins, efficiency, and decision making

Joined March 2025
39 Photos and videos
Pinned Tweet
Sharing our latest industry insights: The 2026 State of Digital Manufacturing Report In this report: Current state of digital adoption across manufacturing & supply chain operations Current state of data & analytics in manufacturing & supply chain operations ROI Ratings on Recent Digital Investments Operational Improvements Gained from Digital Investments Highest priority near-term operational digital investment areas Highest priority near-term technology investment areas Confidence in ability to achieve ROI from digital investments Barriers to digital manufacturing initiatives
1
30
Unpopular opinion in manufacturing tech: Stop rushing into AI. Not because AI isn't powerful — it is. But because most plants don't have data that's clean, consistent, or standardized enough for AI to deliver trustworthy results. Data Analytics (descriptive diagnostic) comes first: -Real-time dashboards -Automated alerts & action triggers -Performance benchmarking across shifts/lines -Workflow optimization AI & Advanced Analytics (predictive prescriptive) builds on top: -Predictive maintenance -Demand forecasting -Computer vision Skip the foundation and you get expensive pilots that underperform and erode trust. Our new article breaks down exactly what strong foundational analytics looks like in manufacturing SMBs — and how it creates immediate impact while preparing you for advanced capabilities. It's practical, not theoretical. Perfect if you're an operations leader tired of "shiny tool" conversations that ignore reality.
1
1
8
Lasso retweeted
Sharing our 2026 State of Digital Manufacturing Report where we surveyed US SMB manufacturers across 14 industry sectors to understand where digital adoption is happening, where it’s stalling, and what’s driving real operational impact. What’s inside the report: -Digital adoption trends across manufacturing & supply chain operations -The current state of data & analytics maturity -ROI performance of recent digital investments -Operational improvements tied to digital initiatives -Near-term investment priorities (operations technology) -Key barriers slowing progress
1
1
1
89
From our latest survey on the state of digital manufacturing for US based SMBs: On the question of the biggest immediate payoff from digital investments? Visibility. It’s the #1 reported benefit (16%)—and that’s not surprising. Before companies can optimize operations, they need to see them: real-time production status, inventory levels, and performance metrics. What follows next: • Efficiency & throughput gains (13%) • Improved inventory accuracy (12%) The pattern is clear—visibility comes first. Once you can identify bottlenecks, material imbalances, and process variation, meaningful productivity gains follow. You can’t improve what you can’t see.
1
1
1
20
Read the full report here: lassosupplychain.com/researc…

5
Digital transformation isn’t failing — but it’s definitely uneven. Over 70% of manufacturers are seeing ROI from digital investments, so what separates the leaders from the laggards? Here’s what the latest data shows from our latest survey of SMB manufacturers: 76% of companies that made digital investments met or exceeded their ROI expectations. But the story gets more interesting when you look closer • Larger manufacturers (200 employees) are seeing the strongest returns, with an average ROI score of 3.4/5 • Medical device manufacturers are leading the pack with a 4.0/5 ROI • Meanwhile, chemicals manufacturers are lagging significantly at just 1.7/5 Same “digital transformation” narrative — very different outcomes. So what’s driving the gap? It’s not just about investing in technology. It’s about how effectively companies connect data, align it to operations, and actually operationalize insights. The manufacturers seeing the highest ROI tend to: → Tie digital initiatives directly to measurable business outcomes → Integrate data across systems instead of creating silos → Focus on adoption, not just implementation Digital investment is no longer the differentiator. Execution is. If 76% are seeing returns, the opportunity isn’t whether it works — it’s whether you’re getting the full value you should be.
1
1
33
Lasso retweeted
Always wild to see cuts like the first chart alongside commentary that US manufacturing is in decline. Meanwhile when you zoom out to the long term trend on the second chart, the drop is a blip, literally a 0.3% drop from 12.76M to 12.72M. Over the long term it’s barely noticeable and the story completely flips. US manufacturing is clearly increasing in a long term sustainable way. And it is going to be smarter and more efficient than ever. Offshoring from 2000-2010 decimated legacy manufacturing capacity. From 2010 and on it has been up and to the right with some recent short-term macro factors explaining the recent <1% drop. The next gen factories have more automation, more digitization, more advanced analytics and will be more competitive than ever. US manufacturing has a very bright future.
1
2
27
Lasso retweeted
Three factors to determine which manufacturing KPIs your business needs -Identify top 3-5 business priorities: protect margins, grow revenue, on time delivery, quality defects, control costs -Identify biggest bottleneck or risk: machine uptime, quality, labor, supply disruption, demand forecasting -What action does it drive: when it moves do you know what actions need to be taken? are they leading indicators? What else?
1
1
30
Lasso retweeted
The modern shop floor generates more data than ever. The manufacturing leaders of the future are those that treat it as such with forward analytics to predict demand shifts, optimize energy, labor, and material usage, mitigate supply disruptions, and dynamically price capacity. In competitive markets, having real-time predictive intelligence can be the difference in winning or losing new business.
1
1
30
Sharing our latest industry insights: The 2026 State of Digital Manufacturing Report In this report: Current state of digital adoption across manufacturing & supply chain operations Current state of data & analytics in manufacturing & supply chain operations ROI Ratings on Recent Digital Investments Operational Improvements Gained from Digital Investments Highest priority near-term operational digital investment areas Highest priority near-term technology investment areas Confidence in ability to achieve ROI from digital investments Barriers to digital manufacturing initiatives
1
30
Read the full report here: lassosupplychain.com/researc…

4
Lasso retweeted
From our latest survey: half of SMB manufacturers surveyed across 14 industry sectors reported being at a level of manual processes or basic digital tools. The digital divide is real and many are still at the beginning. Question is what happens to these SMBs that keep their manual processes and remain non-digital? Are competitive pressures enough to force them to change or can they continue using the legacy systems & processes indefinitely?
1
1
32
Lasso retweeted

1
1
71
How digitally mature are SMB manufacturers today? Our latest State of Digital Manufacturing survey found: • Nearly 50% still operate with primarily manual processes or basic tools • Only 8% of manufacturers with under 50 employees report adoption beyond basic levels • Some sectors show strong integration, while others remain largely manual The results highlight significant variation in digital adoption across manufacturing industries and company sizes.
1
17
Check out the full report here: lassosupplychain.com/researc…

11
The 2026 State of Digital Manufacturing Digital transformation in manufacturing continues to accelerate, but the reality inside many factories is more complex than the headlines suggest. Our new 2026 State of Digital Manufacturing report examines how manufacturers—especially small and mid-sized firms—are approaching digital investments, operational data, and analytics. A few themes stood out: • Digital investment is still growing. 61% of manufacturers plan to increase spending on enterprise software over the next year as they modernize operations and systems. • AI adoption is expanding—but shifting toward practical use cases. Predictive AI for supply chain planning and process optimization is seeing the fastest growth. • Data fragmentation remains a major barrier. Many manufacturers still struggle to connect ERP, production, and operational data into a unified view. The result is a familiar gap: Manufacturers are collecting more data than ever, but many still lack clear operational visibility. For many SMB manufacturers, the opportunity is not just adopting new technologies—it’s turning existing operational data into better decisions. The full report explores trends in: • Digital investment priorities • Operational analytics adoption • Barriers to digital manufacturing initiatives • The technologies manufacturers are prioritizing next If you're interested in how manufacturers are approaching digital transformation in 2026, you can read the full report below #manufacturing #digitalmanufacturing #manufacturinganalytics #industry40 #operations #manufacturingtechnology
1
13
Read the full report here: lassosupplychain.com/researc…

9
16 Dec 2025
SMB manufacturers: Tired of siloed data holding you back? Discover how web-based applications & data warehouses build a rock-solid foundation for real-time insights, efficiency gains, and growth! From IoT integration to custom dev—unlock your potential! Check out the article below:
1
6
21,088
14 Dec 2025
SMB Manufacturers: Your KPIs Are Probably Lying to You! Vanity metrics that ignore quality, siloed data causing errors, and misleading targets create false confidence—hiding bottlenecks, waste, and real risks to profitability. The good news? This article reveals exactly how to fix these issues and build trustworthy metrics that drive real results. We’ll also cover establishing a rock-solid data foundation using web-based digital systems (ERP, MES, IoT) and data warehouses to create a single source of truth for accurate, real-time insights. Don’t let bad data hold you back—read on to transform your KPIs!
1
18