AI Planning

Pigment has published details of Graphite, the patent-pending architecture underpinning its business planning platform. The company describes Graphite as the technology layer designed to support large-scale planning, governed data, real-time visibility and dynamic modeling for enterprise decision-making. The post was published on June 3, 2026 and updated on June 4, 2026.

Graphite is presented around three core pillars: an Elastic Engine for scale and continuous planning, unified and governed data, and Dynamic Modeling to help teams adapt structures, scenarios and relationships as business conditions change. Pigment also positions Graphite as relevant when planning is accessed through an MCP Server, where governance, shared definitions and a semantic layer become critical for both humans and AI agents.

For Supply Chain Planning and IBP teams, the announcement matters because it addresses a common bottleneck in planning modernization: how to combine scale, flexibility and control without fragmenting planning logic across spreadsheets, legacy systems and isolated AI tools. Pigment’s broader platform positioning includes Sales & Operations Planning and Demand & Inventory Planning use cases, alongside finance, sales and HR planning.

The Graphite announcement also connects to Pigment’s earlier 2026 AI planning push. In March 2026, Pigment announced its Modeler Agent and AI Intent Modeling, describing a shift where teams can express planning needs in natural language and generate governed, production-ready models and applications more quickly than through manual configuration.

REMIRA continues to position AI-powered cloud supply chain software around inventory management, demand response, supply chain integration and operational planning. The product signal is relevant for European retail, wholesale, manufacturing and distribution teams.

The practical relevance is Demand Forecasting, inventory optimization, supply chain integration and proactive demand response. For planning teams, the key question is whether AI-supported signals improve daily stock and order decisions while remaining connected to operational execution systems.

More details are available on the REMIRA supply chain software page.

Anaplan announced AI-driven innovations including Custom Analyst and Agent Studio to advance enterprise decision-making. For supply chain teams, the signal is that planning platforms are moving toward configurable analyst and agent capabilities inside connected planning workflows.

This matters for Supply Chain Planning because AI agents can help identify risks, run scenarios and coordinate plans across commercial, finance and operations. The governance question is how these agents are configured, monitored and kept within approved decision boundaries.

Solvoyo announced that it was named an Honorable Mention in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions: Process Industries. The signal matters for Supply Chain Planning teams because Solvoyo positions its platform around no-touch decision automation, detailed constraint modeling and AI-supported operational planning. More details are available from the Solvoyo announcement.

For planning leaders, the practical relevance is not the analyst mention alone. It is the continued market attention around Autonomous Planning, Inventory Optimization and executable recommendations that can reduce manual planning effort while keeping exceptions visible to planners.

GEPP has selected RELEX to replace legacy and manual planning processes with a connected, AI-driven platform. The program aims to unify planning across the network and improve visibility, forecasting and inventory decisions.

SAP has added AI-assisted planning capabilities through a Microsoft Excel add-in as part of its Q1 2026 Business AI releases. The update brings enterprise planning support closer to the spreadsheet environment used by many business teams.

John Galt Solutions highlighted recognition for its Atlas Planning Platform among 2026 top logistics and supply chain technology providers. The market signal is relevant for companies evaluating pragmatic AI-supported planning platforms across demand, inventory and supply planning.

For Supply Chain Planning teams, Atlas is relevant when decision support, forecast management and planning automation need to be adopted without a heavy enterprise transformation model. The governance question is how GenAI and AI-supported recommendations remain tied to validated planning data.

RELEX Solutions published research on how AI is moving into core supply chain planning decisions as volatility continues. The signal is particularly relevant for retail, grocery and consumer goods organizations where forecasting, replenishment, pricing and waste reduction are directly connected.

For Retail Planning, the relevant shift is from AI as analytics support to AI as decision support for availability, margin, replenishment and inventory placement. That makes AI Governance important as decisions become more granular and frequent.

Optilogic and Connexxion Consulting announced a partnership focused on bringing AI-powered supply chain design capabilities to the Brazilian market. The announcement matters for Supply Chain Design teams because it extends access to modern network modeling, optimization and scenario planning capabilities in a major industrial and logistics market. More details are available in the Optilogic announcement.

For supply chain leaders, the practical signal is the regional expansion of AI Planning, Network Optimization and scenario-modeling capabilities. As supply chain design becomes more continuous, partnerships like this can help companies move from occasional consulting studies to repeatable decision workflows.

Arkieva published practical supply chain planning content that frames AI as a way to improve forecasting, inventory decisions and planning collaboration rather than replace planners outright. The signal is useful because many mid-market planning teams still need process maturity before advanced automation.

For Demand Planning, inventory and S&OP teams, Arkieva’s relevance is pragmatic: better forecast discipline, structured exceptions, supply-demand balancing and planning routines. This connects Planning Governance with realistic AI adoption.

Pigment published a supply chain planning discussion with Amazon focused on AI, planning speed and trust. The item is relevant because it frames AI planning adoption around practical user confidence, not only model sophistication.

For Supply Chain Planning, the key signal is that fast scenario generation is not enough. Planners need transparent assumptions, collaborative workflows and Planning Governance before AI-generated outputs can influence operational decisions.

Carhartt selected RELEX to unify production and Supply Chain planning through an AI-driven platform.

Kinaxis partnered with Databricks to combine Maestro orchestration with a scalable, governed data-intelligence platform for faster insights and AI adoption.

Netstock launched AI Pack to improve supply chain visibility and decision-making for small and mid-sized businesses. The announcement highlights capabilities such as Predictor Inventory Advisor and AI-supported planning guidance.

This matters because SMB and mid-market supply chain teams often need practical AI support for Inventory Planning, demand planning, replenishment and exception prioritization before they need a heavy enterprise APS. Netstock’s positioning is therefore relevant to accessible AI adoption in planning.

More details are available in the Netstock announcement.

Autone raised $17 million to expand its AI-powered retail inventory planning platform. The round included investors such as General Catalyst, Speedinvest, Y Combinator, Seedcamp, Motier and Financière Saint James.

The announcement is relevant for Retail Planning because fashion and lifestyle brands need faster decisions on buying, allocation, replenishment and stock rebalancing. Public coverage and company materials connect Autone to brands such as Roberto Cavalli, Courrèges and Benoa.

More details are available in the Startups Magazine report.