Artificial Intellgience

Successful AI in retail only works when operations change with it

Monday, February 2, 2026 · Brian Straight
AI delivers real supply chain value only when it is embedded into operational workflows and paired with process change, not layered on top of broken decisions.

Supply chain resilience and AI readiness start with location-based data

Tuesday, January 27, 2026 · Brian Straight
Supply chain resilience and AI readiness increasingly depend on source-level and location-based data that gives organizations visibility into where materials originate, how networks interact, and where risk is emerging.

Why retail planning is moving beyond seasonal forecasts

Monday, January 26, 2026 · Brian Straight
Retailers are moving beyond seasonal planning toward integrated, AI-driven decision frameworks that connect real-time demand signals, financial guardrails, and execution at the store level.

Frontline workers are becoming the center of AI-driven supply chains

Tuesday, January 13, 2026 · Brian Straight
As artificial intelligence reshapes supply chains, companies are discovering that frontline worker upskilling, exception-based execution, and human-centric AI are now critical to operational performance and resilience.

Today’s digital supply chains: On the road to maturity

Tuesday, January 6, 2026 · Marisa Brown
Digital supply chains are gaining ground as businesses refocus their attention on the true technology business drivers.

Digital supply chain maturity is advancing

Tuesday, January 6, 2026 · SCMR Staff
New research from APQC shows that while digital tools are widely adopted across supply chains, true end-to-end transformation remains elusive for most organizations.

When tech outruns talent

Tuesday, January 6, 2026 · Brian Straight
AI, autonomy, and digital transformation are accelerating, but unless organizations build the skills to use them, supply chains will remain stuck in pilot mode.

From S&OP to explainable AI: A Q&A with a supply chain planning expert

Tuesday, January 6, 2026 · SCMR Staff
AI-driven, explainable planning is emerging as a critical capability for U.S. supply chain leaders seeking to reduce decision latency, manage tariffs, and replace outdated S&OP models with collaborative intelligence.

The 4 trends mid-market manufacturers need to master to conquer 2026

Monday, January 5, 2026 · Brian Straight
As mid-market manufacturers head into 2026, competitive advantage will hinge on connecting supply chain flexibility, AI adoption, workforce reinvention, and M&A into a single, integrated resilience strategy.

2026 supply chain predictions

Wednesday, December 31, 2025 · SCMR Staff
Leading supply chain experts have offered their views on what 2026 trends to stay on top of as companies navigate an increasingly complex global supply chain.

Integrating private LLMs and ensemble forecasting

Tuesday, December 30, 2025 · Saravanan Venkatachalam, Rajkumar Ammaiappan, and Arunachalam Narayanan
After-sales operations in the automotive industry depend heavily on the availability of critical parts. When inventory gaps occur, service delays and customer dissatisfaction follow—creating measurable financial impact. TVS Motors utilized a private LLM model to improve…

ASCM’s Top 10 Supply Chain Trends reveal a year of intelligent transformation

Thursday, December 11, 2025 · Brian Straight
ASCM’s Top 10 Supply Chain Trends in 2026 report offers a detailed look at the technologies, capabilities, and global forces shaping the year ahead. At the top of the list is artificial intelligence, now central to planning, forecasting, logistics, and real-time…

From algorithm to workforce: Preparing supply chain leaders for the AI literacy era

Wednesday, November 19, 2025 · Corrine Chen
AI is transforming supply chains from algorithm-driven functions into human–machine partnerships, making AI literacy, governance, hybrid skills, and academic–industry collaboration essential competencies for future-ready leaders and workforces.

Quantum logistics unleashed

Friday, November 7, 2025 · Gilles Paché
Quantum logistics harnesses the power of quantum computing to transform supply chains from reactive systems into adaptive, predictive networks, but true scalability remains years away due to technological, economic, and accessibility hurdles.
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