Supply Chain Planning Software Buyer’s Guide

Who This Guide Is For

You need this guide if you are one of the following:

1) VP / Director of Supply Chain

You’re responsible for service levels, inventory turns, and planning accuracy, but your current planning process is too manual, too slow, or too fragmented across ERP, spreadsheets, and email. You likely need:

• Better demand and supply visibility
• Faster scenario planning
• Stronger S&OP / IBP discipline
• Less firefighting, more decision-making

2) Demand Planning or Supply Planning Manager

You live in the weeds: forecast bias, exception management, constrained supply, and the daily reality that “the system” is only as good as the data feeding it. You need software that:

• Handles exceptions without endless manual work
• Supports consensus planning
• Produces usable plans, not just pretty dashboards
• Integrates with your ERP and execution systems cleanly

3) COO / Operations Leader at a Growth-Stage Manufacturer or Distributor

You’ve outgrown spreadsheets and basic ERP planning. The business is now too complex for static reorder points and tribal knowledge. You need this guide if:

• Stockouts are hurting revenue
• You’re carrying too much inventory “just in case”
• New product launches keep breaking the plan
• Your planning team is spending more time cleaning data than planning

4) Supply Chain Transformation / Digital Program Leader

You’re leading a planning system replacement, IBP transformation, or network redesign initiative. You need to understand:

• Which capabilities are core vs. hype
• How to evaluate AI claims
• What implementation really takes
• Which vendors fit which operating models

Who should NOT read this guide

This guide is not for:

• Companies that only need basic reorder point planning inside an ERP
• Businesses with fewer than ~20 SKUs and low planning complexity
• Teams shopping for warehouse management, transportation management, or procurement suites unless planning is the real gap
• Executives who want a 2-week software decision without data cleanup, process work, or stakeholder alignment

If you want “push-button planning” with no process change, stop here. That product does not exist.

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What Supply Chain Planning Software Does

Supply chain planning software helps you decide what to make, what to buy, where to hold inventory, and when to move it. The best platforms also help you reconcile those decisions with finance, sales, procurement, manufacturing, and logistics.

At a practical level, these tools replace:

• Spreadsheet-based demand forecasting
• Manual supply planning
• One-off inventory targets
• Slow S&OP meetings with stale data
• Separate planning logic across business units

Before vs. after

What the software actually does

Good supply chain planning platforms usually support some mix of the following:

• Demand planning
• Supply planning
• Inventory optimization
• S&OP / IBP
• Scenario simulation
• Constraint-based planning
• Replenishment planning
• Supplier collaboration
• Multi-echelon inventory optimization
• Network optimization
• AI/ML forecasting
• Exception management
• Plan execution handoff

Business case example

Suppose a mid-market manufacturer has:

• $250M annual revenue
• $60M average inventory
• 12% stockout-related lost sales on selected items
• Forecast error around 30%
• Expediting spend of $1.2M per year

A credible planning platform can often improve:

• Inventory reduction by 8–15%
• Service level by 2–5 points
• Forecast accuracy by 10–20% relative improvement
• Expediting reduction by 20–40%

A conservative financial impact might look like:

• 10% inventory reduction on $60M = $6M freed up
• 25% reduction in expediting on $1.2M = $300K saved
• Even a 1% revenue lift from better availability on $250M = $2.5M upside

That’s a plausible $8M+ annual value case before you count labor savings, fewer firefights, or better planner productivity.

The catch: if your item master is dirty, lead times are wrong, and no one trusts the forecast, software alone will not deliver this value.

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Market Landscape 2026

The 2026 supply chain planning market is not one market. It’s at least five overlapping markets:

• Enterprise planning suites
• Multi-enterprise planning / orchestration platforms
• ERP-adjacent planning modules
• Specialized optimization and collaboration tools
• Sustainability / risk / compliance layers that increasingly sit on top of planning

The market is being reshaped by AI, but not in the way vendors claim

AI is useful in supply chain planning, but most vendors oversell it. In 2026, AI is doing three real jobs:

• Forecasting assistance
• Detecting patterns humans miss
• Improving short-term demand sensing
• Reducing manual model tuning

• Exception prioritization
• Surfacing which shortages, delays, or demand shifts matter most
• Reducing planner noise

• Scenario generation
• Proposing what-if plans faster than humans can model them manually

What AI is not doing well:

• Fully autonomous planning across volatile, multi-tier supply chains
• Replacing process discipline
• Fixing bad data
• Solving governance problems
• Eliminating the need for planner expertise

If a vendor says AI will “run your supply chain,” be skeptical. The better claim is: AI can make planners 20–40% more productive when the data and process foundation is already solid.

The biggest 2026 trends

1) Planning is moving from static cycles to continuous decisions

Monthly S&OP-only models are no longer enough for many businesses. The market is shifting toward:

• Weekly or daily re-planning
• Exception-driven workflows
• Concurrent planning across demand, supply, inventory, and finance

This is where platforms like Kinaxis Maestro, SAP IBP, o9 Solutions, Oracle Supply Chain Planning Cloud, and Logility compete hardest.

2) “Planning” is becoming orchestration

The word planning used to mean forecasting and MRP. Now it increasingly includes:

• Supplier collaboration
• Logistics visibility
• Multi-tier risk sensing
• Finance alignment
• Order promising
• Sustainability trade-offs

That’s why vendors like E2open, project44’s MO, and Coupa Supply Chain Solutions matter even when they don’t look like classic planners.

3) ERP vendors are pulling planning inward

Oracle and SAP keep making planning more embedded in their own ecosystems. For companies standardized on those stacks, the pull is strong because:

• Data integration is simpler
• Security and identity are easier
• Process ownership is clearer

That said, embedded planning often wins on convenience, not always on best-of-breed depth.

4) Sustainability is now part of planning, not just reporting

More buyers now want planning tools that consider:

• Scope 3 emissions
• Regulatory requirements like EUDR
• Supplier sustainability risk
• Carbon-aware logistics and sourcing decisions

Relevant vendors in your directory include:

• Blue Yonder Sustainable Supply Chain Manager
• o9 ESG & Sustainability Solutions
• IntegrityNext ESG Software
• IntegrityNext EUDR Compliance Software

5) Planning and execution are converging

Planning software increasingly touches:

• Manufacturing execution
• Warehouse and order management
• Procurement and collaboration
• Transportation visibility

This blurs the line between planning systems and adjacent platforms such as:

• Manhattan Active Supply Chain Planning
• Infor CloudSuite SCM
• Acumatica Distribution Management
• Acumatica Manufacturing Edition
• SAP Digital Manufacturing
• SAP S/4HANA Manufacturing Solutions
• Unleashed Production Management

How the vendor landscape is structured

A. Enterprise planning leaders

These are the heavyweights for large, complex organizations:

• SAP Integrated Business Planning
• Oracle Supply Chain Planning Cloud
• Kinaxis Maestro
• o9 Solutions
• E2open
• Blue Yonder

Best for:

• Global, multi-plant, multi-region networks
• Constrained planning
• High volatility
• Formal S&OP / IBP processes

B. Planning and decision intelligence platforms

These vendors often broaden into analytics, workflow, and orchestration:

• Logility Decision Intelligence Platform
• Decision Command Center by Logility
• Sales and Operations Planning (S&OP) by Logility
• Supply Planning by Logility
• Supply Chain Data Management by Logility
• Network Optimization by Logility
• Manhattan Active Supply Chain Planning
• Behavior Intelligence by Manhattan
• Computational Intelligence by Manhattan
• Data Management by Manhattan

Best for:

• Companies that want planning plus workflow and analytics
• Teams trying to operationalize decisions faster
• Organizations that value integrated data and decision support

C. ERP-adjacent and operational suites

These are strongest where planning is one module in a larger operational stack:

• Acumatica Distribution Management
• Acumatica Manufacturing Edition
• Infor CloudSuite SCM
• SAP Digital Manufacturing
• SAP S/4HANA Manufacturing Solutions
• Oracle Manufacturing Cloud
• Oracle Order Management Cloud
• Oracle Planning Central Cloud
• Oracle Procurement Cloud
• Oracle Product Lifecycle Management Cloud
• Oracle Supply Chain Collaboration Cloud
• Oracle Database and IT Infrastructure for SAP

Best for:

• Buyers already standardized on the suite
• Companies prioritizing integration over standalone planning depth
• Mid-market firms moving up in complexity

D. Collaboration, risk, and compliance specialists

These tools solve specific problems that increasingly sit beside planning:

• Supplier Risk Management Solutions by Ivalua
• Supplier Collaboration & Risk Management by o9 Solutions
• Supply Chain Collaboration Software by Flowlity
• MO (AI supply chain assistant) by project44
• GoTrack by GoProcure
• JAGGAER Link
• Pax Tariffs
• MasterControl QMS Solutions
• ESG Software by IntegrityNext
• EUDR Compliance Software by IntegrityNext

Best for:

• Procurement-heavy organizations
• Regulated industries
• Companies needing supplier collaboration and compliance visibility

E. Industry-specific or niche tools

These can be effective when the fit is narrow:

• Softeon Supply Chain Planning Software
• Production Management by Unleashed
• Trimble Ag Software
• Tekla Structures
• Loop by Loop
• Planning by Blu
• Deposco Planning
• FourCentric Digital Transformation Services

Best for:

• Targeted operational problems
• Industry-specific use cases
• Buyers who don’t need a massive suite

Bottom line on the market

In 2026, the winning purchase is not the vendor with the most AI claims. It is the vendor that best matches:

• Your planning maturity
• Your ERP landscape
• Your network complexity
• Your need for collaboration vs. optimization
• Your implementation capacity

For many buyers, the real choice is not “best software.” It is best operating model plus software.

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The 8 Things That Matter Most

Below is the practical weighting framework I’d use for most buyers.

1) Planning depth and fit — 18%

Why it’s critical: If the core planning engine does not fit your operating model, nothing else matters. A beautiful dashboard around weak planning logic is still weak planning.

What to evaluate:

• Demand planning methods
• Supply planning under constraints
• Multi-echelon inventory optimization
• S&OP / IBP support
• Replenishment logic
• Industry-specific planning needs

What good looks like:

• Multiple planning methodologies
• Strong exception handling
• Clear support for your product and network complexity
• Planners can explain and trust the outputs

Red flag: The product is broad but shallow, with vague explanations of planning logic.

Ask the vendor:

• Which planning use cases are native vs. partner-led?
• Where do customers typically need custom work?
• What planning problems does your system handle best?

2) Data model and master data handling — 15%

Why it’s critical: Planning fails fast when item, location, BOM, lead time, and calendar data are wrong.

What to evaluate:

• Item/location/BOM structure
• Versioning and effective dating
• Demand history handling
• Lead-time management
• Data governance tools

What good looks like:

• Flexible data model
• Strong hierarchy support
• Easy mapping from ERP data
• Visible data quality controls

Red flag: The platform assumes clean data but offers little support for fixing bad data.

Ask the vendor:

• How do you handle versioned master data and BOM changes?
• What data quality checks are built in?
• How long does a typical data model build take?

3) Scenario planning and speed — 14%

Why it’s critical: Planning is only valuable if teams can test options before the business moves on.

What to evaluate:

• Scenario creation time
• Comparison of alternatives
• Sensitivity analysis
• Response speed on large datasets
• Concurrent user performance

What good looks like:

• Scenarios can be created and compared quickly
• Users can test supply, demand, and inventory trade-offs
• Large data volumes don’t break the system

Red flag: Scenario planning exists, but only a few specialists can use it.

Ask the vendor:

• How fast can the system recalculate a constrained scenario?
• What’s the largest customer dataset you support in production?
• Can planners create scenarios without IT support?

4) Integration with ERP and execution systems — 14%

Why it’s critical: Planning software that can’t connect cleanly to ERP, MES, WMS, TMS, and procurement becomes another silo.

What to evaluate:

• Prebuilt connectors
• API maturity
• Sync frequency
• Error handling
• Integration ownership model

What good looks like:

• Standard integrations with your core systems
• Stable APIs
• Clear ownership of interface monitoring
• Minimal manual rekeying

Red flag: The vendor treats integration as a custom services project every time.

Ask the vendor:

• What are your standard integrations for SAP/Oracle/NetSuite/JD Edwards?
• How do you handle near-real-time updates?
• What breaks most often in live integrations?

5) Usability for planners and executives — 12%

Why it’s critical: If planners hate the tool, they will work around it. If executives can’t understand it, they won’t trust it.

What to evaluate:

• Planner workflows
• Exception dashboards
• Executive views
• Explainability of recommendations
• Navigation and search

What good looks like:

• Planners can act quickly
• Executives can see the business trade-offs
• Decisions are explainable, not opaque

Red flag: Too much screen density, too many clicks, too much dependence on Excel exports.

Ask the vendor:

• Show the daily planner workflow end to end.
• How do users explain why the system recommended a change?
• What do executives see in 5 minutes?

6) Constraint handling and optimization — 10%

Why it’s critical: Without constraint logic, you are forecasting fantasy.

What to evaluate:

• Capacity constraints
• Material constraints
• Transport constraints
• BOM explosion handling
• Optimization objective flexibility

What good looks like:

• System can model real bottlenecks
• Trade-offs are explicit
• Constraint logic is usable, not just theoretical

Red flag: The software “supports constraints” but only in a limited, consultant-heavy way.

Ask the vendor:

• Which constraints are native?
• How do you handle multiple bottleneck types at once?
• What happens when constraints conflict?

7) Collaboration, workflow, and governance — 9%

Why it’s critical: Planning is a team sport. Without workflow, approvals, and accountability, the process degrades into email and meetings.

What to evaluate:

• Role-based workflows
• Approval routing
• Commenting and audit trails
• Cross-functional plan ownership
• Task management

What good looks like:

• Clear decision history
• Repeatable cadence
• Structured collaboration across functions

Red flag: The vendor assumes “users will collaborate outside the system.”

Ask the vendor:

• How are decisions tracked and approved?
• Can finance, sales, and supply chain work from one version of truth?
• What governance features are native?

8) Implementation effort and time to value — 8%

Why it’s critical: A theoretically brilliant platform that takes 18 months to deliver is often a bad business decision.

What to evaluate:

• Time to first value
• Data cleanup requirements
• Configuration complexity
• Change management burden
• Internal team effort

What good looks like:

• Clear phased rollout
• Value in 3–6 months for a first use case
• Explicit customer effort estimates

Red flag: Every deployment sounds “bespoke” and dependent on a large services team.

Ask the vendor:

• What does a realistic 90-day rollout look like?
• What do successful customers do first?
• How much internal time is required weekly?

9) Security, auditability, and compliance — 5%

Why it’s critical: You are putting sensitive operational and commercial data into the platform.

What to evaluate:

• SOC 1 / SOC 2
• ISO certifications
• Role-based access
• Audit trails
• Data residency and privacy controls

What good looks like:

• Clear certifications
• Strong access controls
• Good traceability of planning decisions

Red flag: Security answers are vague or only available after legal review.

Ask the vendor:

• Which certifications are current?
• How is access controlled by region, role, and function?
• Can we audit plan changes and approvals?

10) Total cost and pricing transparency — 5%

Why it’s critical: Planning software pricing gets ugly fast when modules, data volume, users, and services all stack up.

What to evaluate:

• License metric
• Implementation cost
• Ongoing support cost
• Add-on module pricing
• Hidden dependency costs

What good looks like:

• Clear pricing model
• Predictable annual spend
• No surprise usage fees that blow up after go-live

Red flag: The vendor refuses to discuss cost drivers until late in the process.

Ask the vendor:

• What drives price up the fastest?
• Which capabilities are included vs. add-on?
• What do customers typically spend in year one?

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Use-Case Matching: Which Type of Buyer Are You?

1) Growth-stage manufacturer or distributor

What matters most:

• Fast implementation
• Strong inventory and replenishment basics
• Reasonable usability
• Integration with ERP and WMS
• Minimal consultant dependency

Prioritize:

• Demand planning
• Replenishment planning
• Basic supply planning
• Inventory optimization
• Clean ERP integration

Best fit pattern:

• ERP-adjacent planning modules
• Mid-market platforms with lighter implementation burdens
• Tools that can scale with complexity, not overwhelm you on day one

Avoid:

• Overbuying a giant enterprise suite when your team is still spreadsheet-driven
• Platforms that require a 12-month data program before any value appears

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2) Large enterprise with global complexity

What matters most:

• Constrained planning
• Multi-echelon visibility
• Concurrent planning
• Scenario speed
• Governance across regions and business units

Prioritize:

• Advanced supply planning
• S&OP / IBP
• Optimization
• Multi-tier collaboration
• Strong integration architecture

Best fit pattern:

• Enterprise platforms such as SAP IBP, Kinaxis Maestro, Oracle Supply Chain Planning Cloud, o9 Solutions, E2open, Blue Yonder, and in some cases Logility

Avoid:

• Tools that only work well for one region or one business unit
• “AI-first” systems with weak control over constraint logic

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3) Industry-specific buyer

Examples:

• Semiconductor
• Life sciences
• Automotive
• Food and beverage
• Consumer goods
• Industrial manufacturing

What matters most:

• Industry logic
• Compliance
• Shelf-life / batch / serialization / quality requirements
• Supplier collaboration
• Risk management

Prioritize:

• Vertical-specific workflows
• BOM and formula complexity
• Compliance integrations
• Supplier collaboration and risk features

Best fit pattern:

• Kinaxis Maestro for high-complexity industries
• SAP for manufacturing-heavy enterprises with broad process depth
• Infor CloudSuite SCM where industry fit is strong
• MasterControl QMS Solutions alongside planning where quality and compliance are central
• IntegrityNext or Ivalua where supplier risk/compliance is a serious requirement

Avoid:

• Generic planning tools that cannot model your batch, regulatory, or quality constraints

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4) Budget-conscious or lower-complexity buyer

What matters most:

• Fast ROI
• Lower services burden
• Clear pricing
• Enough capability without massive overhead

Prioritize:

• Core forecasting
• Replenishment
• Simple supply planning
• Basic collaboration
• Good reporting

Best fit pattern:

• Lighter-weight planning tools
• ERP-native modules
• Mid-market products like Acumatica, Deposco Planning, Planning by Blu, or Unleashed Production Management depending on scope

Avoid:

• Enterprise planning suites with high implementation cost and slow time to value
• Vendors that require a center of excellence before day one

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Vendor Evaluation Questions

Features

• Which planning modules are native today: demand, supply, inventory, S&OP, replenishment, network optimization?
• How do you handle constrained planning across materials, capacity, and labor?
• Can planners create and compare multiple scenarios without IT involvement?
• How do you support forecast overrides and version control?
• What optimization methods do you use, and when are they most effective?
• How do you manage BOMs, formulas, and effective dates?
• Do you support multi-echelon inventory optimization?
• What exceptions does the system surface automatically?

Integration

• Which ERP systems have standard integrations?
• How often can data sync: real time, hourly, daily?
• Do you support API-first integration, batch integration, or both?
• How do you handle integration failures and reconciliation?
• Can you integrate with MES, WMS, TMS, and procurement systems?
• What effort is typically required to map master data from our ERP?

Security

• What certifications do you currently maintain?
• How do you handle role-based access control?
• Can access be segmented by geography, business unit, or function?
• Is data encrypted in transit and at rest?
• What is your audit trail for changes to plans, assumptions, and approvals?
• Do you support single sign-on and MFA?

Pricing

• What is the pricing model: user-based, module-based, usage-based, or hybrid?
• Which capabilities are included in the base license?
• What typically causes pricing to increase after year one?
• What implementation services are mandatory vs. optional?
• Are there charges for data volume, integrations, or environment count?
• What does a typical 3-year total cost of ownership look like?

Implementation

• What is your typical time to first value?
• What internal team roles do you need from us?
• What data cleanup do you expect before go-live?
• What are the most common implementation delays?
• How do you manage change management and user adoption?
• What does a phased rollout usually look like?

Support

• What support model do you provide after go-live?
• Do you offer planning best-practice advisory or only technical support?
• How do you handle product upgrades without breaking customizations?

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Common Mistakes to Avoid

Mistake #1: Buying for demos instead of planning reality

A polished demo can make almost any platform look smart. The real test is ugly data, late supplier updates, and contradictory assumptions.

Consequence: You buy a tool that impresses executives but frustrates planners.

Do instead: Use your actual items, lead times, and constraints in the evaluation.

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Mistake #2: Treating AI as the product rather than the accelerator

AI is useful, but it does not replace planning discipline.

Consequence: You get flashy recommendations that nobody trusts.

Do instead: Judge AI on whether it reduces manual work and improves decision speed, not on marketing language.

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Mistake #3: Ignoring master data cleanup

Bad data will poison even the best planning engine.

Consequence: Bad forecasts, bad supply plans, and low user trust.

Do instead: Budget 2–4 weeks for data cleanup minimum on moderate projects; longer if BOMs, lead times, or item/location hierarchies are messy.

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Mistake #4: Choosing a suite because it is already in the building

Familiarity is not the same as fit. ERP-native modules are convenient, but not always best.

Consequence: You accept weaker functionality because procurement likes consolidation.

Do instead: Compare native-suite options against best-of-breed alternatives on actual use cases.

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Mistake #5: Underestimating the change management burden

Planning software changes how people work, not just what they click.

Consequence: Adoption stalls, spreadsheets return, and the “system of record” becomes decorative.

Do instead: Assign process owners, train users, and define who approves what before go-live.

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Mistake #6: Overbuilding the first release

A complex first phase kills momentum.

Consequence: Timeline slips, budget grows, and the organization loses patience.

Do instead: Pick one or two high-value use cases first:

• Demand planning
• Inventory optimization
• Constrained supply planning
• S&OP cadence

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Mistake #7: Forgetting the executive layer

Planning tools need executive trust, not just planner usability.

Consequence: Leadership ignores the system and reverts to slide decks.

Do instead: Design executive dashboards and decision views early.

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Mistake #8: Not defining decision rights

If nobody knows who owns the final call, no software will save you.

Consequence: Meetings become debates, not decisions.

Do instead: Establish who owns forecast, supply, inventory, and exception decisions.

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Evaluation Timeline & Process

7-week evaluation process

Weighted evaluation matrix template

Scoring tip: Use a 1–5 scale, but don’t average blindly. A vendor with one fatal weakness in integration or planning logic should lose, even if its total score looks close.

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Implementation Reality Check

Typical implementation timelines by company size

Key success factors

• One process owner
• Clean master data
• A narrow first use case
• Committed business SMEs
• Clear decision rights
• Weekly project cadence
• Executive sponsorship that shows up in meetings

What vendors won’t tell you

• Your data is probably worse than you think
• The first planning model will be wrong in some important ways
• Users will keep Excel open unless the new system is faster and more trusted
• Integration is rarely the hardest part; process alignment usually is
• The business will want three use cases by month two, even if you should only launch one

Timeline realism by vendor type

• ERP-native modules: faster to integrate, sometimes weaker in advanced planning depth
• Best-of-breed enterprise platforms: stronger planning, usually longer implementation
• Collaboration/risk add-ons: easier to deploy, but they do not replace a real planning engine
• Industry-specific tools: can be faster if the fit is exact, painful if it is not

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Red Flags — When to Walk Away

Deal-breaker rule: if a vendor cannot show real scenario planning on your data, move on.

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How This Guide Was Created

This guide was created using a vendor-neutral review framework based on:

• Product descriptions and feature sets from the directory
• Publicly available market positioning
• Common enterprise software evaluation criteria
• Buyer pain points observed across supply chain planning selections

Review date: September 2026 Update frequency: Quarterly, or sooner if major product and market changes occur Independence disclaimer: This guide is independently written for commercial.ai and is not sponsored by any vendor listed here. Product references are for buyer education, not endorsement.

Supply Chain Planning solutions in the catalogue (49)

• Acumatica Distribution Management by Acumatica — Streamline distribution with integrated inventory, purchasing, sales, and warehouse management.
• Acumatica Manufacturing Edition by Acumatica — Comprehensive cloud ERP for discrete and process manufacturers, optimizing production planning, BOM, and shop floor control.
• Altana by Altana — AI network mapping multi-tier supplier relationships for regulatory risk.
• Behavior Intelligence by Manhattan Associates — Predictive insights for optimized supply chain operations.
• Blue Yonder Sustainable Supply Chain Manager by Blue Yonder — Integrates carbon & waste management with supply chain for environmental responsibility & sustainable practices.
• Computational Intelligence by Manhattan Associates — Leverages advanced AI and algorithms to optimize complex supply chain challenges for optimal outcomes.
• Coupa Supply Chain Design & Planning by Coupa — AI-powered supply chain design & planning for optimized, resilient global operations.
• Data Management by Manhattan Associates — Streamline cloud data management and flexible data sharing across your supply chain.
• Decision Command Center by Logility — Powering high-quality, cross-functional, end-to-end decision making in supply chains.
• Deposco Planning by Deposco — Optimize supply chain planning, accurately predict demand, and make rapid adjustments with Deposco's unified suite.
• E2open by E2open — Connect, collaborate, and orchestrate your entire end-to-end supply chain.
• ESG & Sustainability Solutions by o9 Solutions — AI-powered platform for integrated sustainability planning and decarbonization.
• Esgrid ESG Reporting for SMEs by Esgrid — AI-powered ESG assessment and reporting platform built for SMEs
• EUDR Compliance Software by IntegrityNext — Automated, digitized, and scalable software for efficient EUDR compliance across your supply chain.
• IBM Maximo by IBM — Max out your asset value with AI-powered enterprise asset management.
• Infor CloudSuite EAM by Infor — Optimize asset performance, reduce costs, and ensure compliance throughout the asset lifecycle.
• Infor CloudSuite SCM by Infor — Optimizing end-to-end supply chain operations with intelligent cloud solutions.
• JAGGAER Link by jaggaer — Connects JAGGAER solutions with ERP and business systems via prebuilt, secure connectors.
• Kinaxis Maestro by Kinaxis — The only AI-powered platform designed for complete supply chain orchestration.
• Kinaxis Maestro Agents by Kinaxis — AI-powered agents for continuous supply chain monitoring, exception detection, and scenario-driven decision support.
• Logility Decision Intelligence Platform by Logility — AI-driven end-to-end platform for optimized supply chain planning and execution.
• Loop by Loop — AI for supply chain decision-making, automating operations and predicting disruptions with unified transportation data.
• Manhattan Active Supply Chain Planning by Manhattan Associates — Revolutionize your supply chain with unified, cloud-native planning and AI-driven insights.
• MO (AI supply chain assistant) by project44 — Your AI assistant for conversational supply chain insights and accessible data.
• Network Optimization by Logility — Optimize your supply chain network to evaluate 'what-if' scenarios and achieve better cost and service.
• Oracle Database and IT Infrastructure for SAP by Oracle — Optimize and run SAP environments on Oracle Database and Cloud Infrastructure.
• Oracle Manufacturing Cloud by Oracle — Efficiently manage production operations, work orders, and shop floor status in the cloud.
• Oracle Order Management Cloud by Oracle — Manage orders from all channels for a single view of the customer and streamlined order-to-cash.
• Oracle Planning Central Cloud by Oracle — Integrate supply and demand planning with intuitive analytics for agile decision-making.
• Oracle Procurement Cloud by Oracle — Streamline source-to-pay with automation and collaboration to control costs and boost margins.
• Oracle Product Lifecycle Management Cloud by Oracle — Rapidly innovate, develop, and commercialize profitable products with an integrated platform.
• Oracle Supply Chain Collaboration Cloud by Oracle — Streamline multi-tier supply chain collaboration with real-time visibility and automated commitment tracking.
• Oracle Supply Chain Planning Cloud by Oracle — Optimize your supply chain planning end-to-end with built-in AI and machine learning.
• Pax Tariffs by Pax Tariffs — AI-automated tariff refund processing for retailers and manufacturers.
• Planning by E2open — Overcome market volatility, ensure excellent service, and capture growth opportunities with Blu Planning.
• Product Cost Management by E2open — Maximize margins by consolidating and analyzing supply chain costs.
• Production Management by Unleashed — Master manufacturing with kanban planner and digital bills of materials, automatically costing products.
• SAP Digital Manufacturing by SAP — Optimize manufacturing operations for quality and compliance in regulated environments.
• SAP Integrated Business Planning by SAP — Cloud supply chain planning with AI forecasting, scenario simulation, and S&OP alignment
• SAP S/4HANA Manufacturing Solutions by SAP — Optimize manufacturing planning and production scheduling for enhanced efficiency.
• Softeon Supply Chain Planning Software by Softeon — End-to-end supply chain planning and execution software for optimized operations and fulfillment.
• Supplier Collaboration & Risk Management by o9 Solutions — AI-powered multi-tier supplier orchestration for resilient supply chains.
• Supplier Risk Management Solutions by ivalua — Proactively manage, monitor, and mitigate supplier risks for a resilient supply chain.
• Supply Chain Collaboration Software by Flowlity — AI-powered supply chain collaboration for optimized planning, forecasting, and inventory management.
• Supply Chain Data Management by Logility — Streamline supply chain data integration with pre-built templates, connectors, and rules-based transformation.
• Supply Chain Solutions by Coupa — Build an adaptive supply chain to predict and adapt to disruptions before they happen, powered by LLamasoft.
• Supply Planning by Logility — AI-first supply chain planning for optimized operations, strategic inventory, and real-time visibility.
• Tekla Structures by Trimble — Create, combine, manage, and share accurate, information-rich 3D models for structural BIM.
• Trimble Ag Software by Trimble — Comprehensive farm management software for optimizing productivity and sustainability.