Santa Barbara County News and Events

The rise of agentic AI in supply chains and what it means for retailers

Kraig Pakulski 0 42 Article rating: No rating
The rise of agentic AI in supply chains and what it means for retailers

 

Artificial intelligence has spent the past few years learning how people click and buy. Now it is moving closer to the harder part of commerce, where a late shipment or missed delivery window can become a customer problem before a retailer has time to react.

A 2025 PwC operations survey found that 53% of respondents already use AI to anticipate and reduce supply chain disruptions, while another 31% are testing it.

Operators tracking fulfillment data are seeing the same pressure behind those adoption numbers as retailers look for systems that can read operational pressure before it reaches the customer. And agentic AI gives that pressure a name, while its arrival points to a larger change inside commerce. As AMS Fulfillment explains below, software is beginning to guide decisions that used to wait for human review.

What Is Agentic AI and Why Does It Matter?

Agentic AI is the term now attached to systems built to pursue a business goal and decide the next step as new information comes in. Old automation stays rigid, doing exactly what its rule says and nothing past it. For example, a system set to reorder 500 units when stock dips below a line does just that, even as the supplier runs dry and the order stalls.

But the agentic version starts from the goal instead, holding a product in stock at a fair price. If the usual supplier runs out, it finds a new source and places the order itself. And inventory balancing follows the same logic, with an agent moving stock toward a regional spike and easing off where demand has cooled.

Sinan Aral, a professor at MIT Sloan, says the agentic AI age “is already here,” with real agents at work across the economy. Agentic systems keep working when reality breaks the script, while older tools simply quit.

How AI Is Changing Warehouse Operations

Warehouse floors make the difference easier to see, since small errors often travel faster than the product itself. A survey conducted in November and December 2024 by Deep Analysis, Hyperscience, and the Council of Supply Chain Management Professionals found that 82% of respondents said manual document processing has a heavy to extreme impact on operational efficiency, with data-entry errors and slow processing among the biggest problems.

But AI starts cutting into that drag by keeping inventory records closer to the shelf and coordinating automated equipment as it runs. It also moves urgent orders higher before a delay spreads.

The work still belongs to people, though fewer decisions have to sit inside a spreadsheet or wait for a status check. In other words, faster reads inside the building lead to fewer wrong picks and cleaner handoffs before an order leaves the dock.

Forecasting and Fulfillment in Real Time

Once an order clears the dock, speed depend

3 in 4 US manufacturers admit their warehouse networks are falling behind

Kraig Pakulski 0 49 Article rating: No rating
3 in 4 US manufacturers admit their warehouse networks are falling behind

 

A recently released Warehouse Specialists Inc, LLC (WSI) survey of 306 supply chain, operations, and logistics leaders at U.S. manufacturing companies found that 75% agree their warehouse network evolved organically over time rather than being designed strategically. Another 73% say their current warehouse model was built for a different operating environment than the one they face today.

In many U.S. manufacturing companies, warehouse networks began as practical extensions of the plant. Production happened in one place, and finished goods moved next door, down the road, or into a nearby building that could hold inventory until a truck arrived. The logic was straightforward. Keep storage close to production, keep costs down, and add space when the business outgrows the existing network.

Over time, that approach created networks that worked well enough but were never meant to add up to a national distribution strategy. The footprint was built for yesterday’s assumptions, and the operating environment has changed around it, creating a quiet crisis plaguing manufacturing warehouse networks during a highly turbulent time.

The network legacy problem

Manufacturing warehousing has always been shaped by control. Products may be heavy, hazardous, high value, temperature sensitive, lot controlled, rail served, or difficult to handle without specialized equipment and trained labor. For decades, those requirements reinforced the idea that warehousing belonged close to the production floor and, often, under internal management.

WSI’s survey, How Manufacturers Are Structuring Warehouse Operations in 2026, reflects that legacy. Nearly half of manufacturers still operate their primary U.S. warehouse or distribution center with their own internal teams. Another 32% use a company-owned or leased facility operated by a 3PL provider, while smaller shares use dedicated contract warehousing or mixed models.

This self-reliant model has advantages. It gives manufacturing leaders direct visibility into inventory, tighter coordination with production, and more control over processes that can carry real compliance or customer risk. But it also leaves companies managing infrastructure that may no longer match where their customers, suppliers, labor pools, or cost pressures now sit.

The survey found that 83% of manufacturers have highly or somewhat centralized warehouse networks. That centralization usually tracks production, with inventory clustered where products are made. Yet only 35% have their primary facility within 10 miles of production, even though 59% say proximity to the plant is very important.

That gap matters. A centralized network can be efficient when production, storage, labor, and outbound transportation are aligned. It becomes much harder to defend when the plant, the warehouse, and the customer base are all pulling the network in different directions.

The external pressure is no longer theoretical

The warehouse problem is not happening in isolation. U.S. manufacturing is being pushed by a wider set of forces that are changing where companies p

3/4 of small businesses don't trust AI for basic tasks

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3/4 of small businesses don't trust AI for basic tasks

 

AI has been a fixture in business headlines for years. The pitch is always the same: Do more and spend less. That promise is what attracted many small business owners. What they’re finding on the other side is more complex, and the data shows both sides of that story.

According to a new survey from Bluevine, 68% of small business owners believe advances in AI will be good for their business, and conviction is growing. Those who feel strongly about AI being beneficial jumped from 31% to 44% year-over-year. Almost three-quarters (74%) are already using or actively testing AI tools. The share of owners with no current or active plans to use AI dropped from 30% in 2025 to 20% in 2026.

The customer data at Bluevine tells a similar story. Active Bluevine account holders who adopted AI saw a 50% increase in customers from September 2025 to March 2026, with 1 in 10 active customers now using at least one AI tool.

Even with that momentum, 82% say they’ve faced at least one barrier when trying to go deeper, while concerns about data security jumped 10 points year-over-year from 23% to 33%. The excitement and the anxiety are building.

In April 2026, Bluevine surveyed 942 small business owners and financial decision-makers across the U.S. to understand where AI is actually delivering and where it continues to fall short. The 2026 Business Owner Success Survey offers insight on how small business owners are planning for the future.

Key takeaways

  • Among active Bluevine customers, the AI-adopting customer base grew 50% in just six months (September 2025 to March 2026), with Claude emerging as the fastest-growing tool at 729% year-over-year growth.
  • 74% of SMB owners are already using or testing AI tools, with 33% using them regularly across multiple business areas, according to the Business Owner Success Survey.
  • 82% of SMBs report at least one barrier to using AI more deeply, led by data security concerns (33%) and distrusting AI’s accuracy (31%).
  • 78% of SMB owners don’t fully trust AI to handle low-level tasks without oversight, despite those being the tasks that would save them the most time.
  • 52% of SMBs who use AI report a return on their investment; 24% say they haven’t seen a return yet.
  • Almost half (48%) of SMBs using AI save at least 4 hours per week.

Most small business owners believe in AI — but many hit a wall trying to use it

More than two-thirds (68%) of SMB owners believe advances in AI will help their business, up from 61% last year. The percentage of those who feel strongly that AI will help jumped 13 percentage points. But for many, actually getting value out of these tools is another story.

The majority (82%) of SMB owners are encountering at least one barrier keeping them from exploring AI more deeply.

The biggest roadblocks are d

Mireya Bran presenta sus propuestas como candidata a concejal de Somerton

Kraig Pakulski 0 54 Article rating: No rating

Abigahil Padilla

SOMERTON, Ariz. (KYMA) – La candidata a concejal de la ciudad de Somerton, Mireya Bran, ha dado a conocer una serie de propuestas enfocadas en fortalecer la participación ciudadana, mejorar los servicios públicos e impulsar el desarrollo económico de la comunidad.

Entre los principales ejes de su campaña destaca el compromiso con la transparencia y la rendición de cuentas, asegurando que, de ser electa, buscará mantener una comunicación abierta con los residentes sobre las decisiones y el uso de los recursos públicos.

Bran también ha impulsado espacios de diálogo con los habitantes de Somerton a través de un podcast, donde entrevista a miembros de la comunidad para conocer sus inquietudes, necesidades e historias. Según la candidata, este proyecto le ha permitido escuchar directamente las voces de los ciudadanos y comprender mejor los desafíos que enfrenta la ciudad.

En materia social, señala que uno de sus objetivos es desarrollar programas que beneficien a niños, jóvenes y adultos mayores, promoviendo oportunidades de crecimiento, actividades comunitarias y mejores servicios para estos sectores de la población.

En el ámbito de la seguridad pública, Bran propone mejorar los salarios de los bomberos y policías, al considerar que una mejor remuneración contribuiría a reconocer su labor y fortalecer los servicios de emergencia y protección para la comunidad.

Otra de sus prioridades es la mejora de la infraestructura de Somerton, además de impulsar políticas que favorezcan a los pequeños negocios, con el propósito de fortalecer la economía local y crear condiciones que permitan atraer nuevas inversiones y empresas a la ciudad.

La candidata afirma contar con una amplia experiencia de servicio dentro de la comunidad. Asimismo, destaca su faceta personal como esposa y madre de dos hijos que actualmente sirven en las Fuerzas Armadas de Estados Unidos. Bran señala que, así como sus hijos sirven al país, ella desea servir a la comunidad desde el gobierno municipal.

Finalmente, Mireya Bran hace un llamado a los ciudadanos para participar en las próximas elecciones, destacando la importancia del voto como una herramienta para influir en el futuro de la ciudad.

The post Mireya Bran presenta sus propuestas como candidata a concejal de Somerton appeared first on News Channel 3-12.

Consulmex Yuma le informa sobre el TLC

Kraig Pakulski 0 64 Article rating: No rating
Consulmex Yuma le informa sobre el TLC

Oswaldo Rivas

Consulmex Yuma le informa sobre el TLC

The post Consulmex Yuma le informa sobre el TLC appeared first on News Channel 3-12.

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