QuadrantX Market Intelligence

Supply Chain Management Software
Report Q1 2026

How Leading LLMs Currently Interpret the Supply Chain Management Software Market

View Rankings
30
Vendors Analyzed
5
LLM Models
15
Analysis Runs
9
Leaders Identified

QuadrantX Positioning

Vendor placement based on Narrative Dominance and Sentiment scores across LLM analyses

Leaders
Challengers
Niche Players
Laggards

Complete Vendor Rankings

All 30 vendors ranked by combined Narrative Dominance and Sentiment scores

#1

SAP

Leader
ND 100
Sentiment 95
#2

Oracle

a.k.a. Oracle NetSuite
Leader
ND 97
Sentiment 90
#3

Blue Yonder

a.k.a. Blue Yonder (formerly JDA), Blue Yonder (formerly JDA Software) +1
Leader
ND 82
Sentiment 86
#4

JDA Software (Blue Yonder)

a.k.a. JDA Software (now Blue Yonder)
Leader
ND 77
Sentiment 90
#5
ND 79
Sentiment 71
#6

Kinaxis

Leader
ND 79
Sentiment 66
#7

Llamasoft (now Blue Yonder)

a.k.a. Llamasoft (Coupa)
Leader
ND 62
Sentiment 75
#8
ND 61
Sentiment 60
#9

IBM

Leader
ND 61
Sentiment 60
#10

Infor

Challenger
ND 75
Sentiment 55
#11

E2open

Challenger
ND 62
Sentiment 56
#12
ND 54
Sentiment 63
#13

NetSuite

Niche Player
ND 35
Sentiment 65
#14

O9 Solutions

Niche Player
ND 34
Sentiment 64
#15

IFS

Niche Player
ND 35
Sentiment 62
#16

Epicor

Laggard
ND 59
Sentiment 53
#17

Coupa Software

a.k.a. Coupa
Laggard
ND 56
Sentiment 53
#18

Microsoft

a.k.a. Microsoft Dynamics 365, Microsoft Dynamics 365 Supply Chain +2
Laggard
ND 51
Sentiment 57
#19
ND 48
Sentiment 54
#20

Descartes

Laggard
ND 48
Sentiment 53
#21

Logility

Laggard
ND 44
Sentiment 42
#22

GEP

Laggard
ND 46
Sentiment 36
#23

HighJump (KΓΆrber)

a.k.a. HighJump (Korber), HighJump (now Korber)
Laggard
ND 31
Sentiment 42
#24

Sage

Laggard
ND 22
Sentiment 50
#25

Anaplan

Laggard
ND 36
Sentiment 33
#26

Project44

Laggard
ND 18
Sentiment 50
#27

Fishbowl

Laggard
ND 30
Sentiment 39
#28

Cin7

Laggard
ND 15
Sentiment 50
#29

Blue Ridge

Laggard
ND 36
Sentiment 25
#30

TradeGecko (QuickBooks Commerce)

a.k.a. TradeGecko (now QuickBooks Commerce)
Laggard
ND 17
Sentiment 34

Key Findings

Critical insights extracted from cross-model analysis

Innovation Concentration

Modern, cloud-native platforms show concentrated sentiment advantages at multiple touchpoints.

Narrative Visibility Gaps

A narrow top-funnel ND range indicates crowded awareness conditions. 11 vendors show limited visibility despite market presence.

Sentiment Cliffs

Certain platforms exhibit notable drops between mid- and bottom-funnel stages, reflecting evaluation-stage friction.

Feature-Set Separators

ERP-integrated suites gain advantage through ecosystem lock-in, while modern competitors differentiate through UX and automation.

πŸ“Š Market Movement Analysis

Comparing this report to a previous analysis from 28 days ago

Previous Report: 93cb4f4f... (Q4_2025)

πŸ“ˆ
MOST IMPROVED
NetSuite

Showed the biggest improvement since last report. ND changed by +8, Sentiment by +13 over 28 days.

πŸ† Category Awards

Recognizing standout vendors based on AI-consensus analysis

πŸ†
Most Valuable
SAP
Score: 195

Achieved the highest combined performance with ND 100 and Sentiment 95, establishing clear market leadership.

πŸš€
Most Potential
E2open
Sentiment: 56

As a Challenger with sentiment score of 56, shows strong potential to move into the Leaders quadrant with improved market perception.

⚑
Most Controversial
Manugistics (now part of Blue Yonder)
Variance: 324

Generated the most debate across AI models with a variance score of 324. Models showed significant disagreement on this vendor's positioning.

πŸ’Ž
Hidden Gem
NetSuite
Sentiment: 65

Strong sentiment score of 65 despite lower market visibility (ND: 35). Well-regarded by those who know them, representing an underappreciated option.

QuadrantX Methodology

QuadrantX applies a structured, multi-model approach using 15 independent runs across 5 LLMs (claude, openai, gemini, perplexity, deepseek). Each model is queried with deterministic temperature settings (0.1) to ensure reproducibility. Narrative Dominance (ND) measures how prominently vendors appear in AI-generated market discussions, while Sentiment captures overall perception quality. Scores are normalized through consensus scoring with variance tracking and outlier suppression. This snapshot enables objective, repeatable comparison across editions.

Transparency & Reproducibility

Complete audit trail: report identifiers, LLM configurations, and exact prompts used

πŸ” Report Metadata & Archive References

Click to expand
Report ID:
a9d88414-3fa2-44cc-ad21-1762d50894c8
Archive File Pattern:
a9d88414-3fa2-44cc-ad21-1762d50894c8_[model]_[run].json
Generated: January 04, 2026 (UTC)
Total LLM Runs: 15

πŸ€– LLM Model Configurations β€” 5 models used

Click to expand
CLAUDE
Provider: anthropic
Model: claude-sonnet-4-20250514
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: a9d88414-3fa2-44cc-ad21-1762d50894c8_claude_*.json
OPENAI
Provider: openai
Model: gpt-4o
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: a9d88414-3fa2-44cc-ad21-1762d50894c8_openai_*.json
GEMINI
Provider: google
Model: gemini-2.0-flash
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: a9d88414-3fa2-44cc-ad21-1762d50894c8_gemini_*.json
PERPLEXITY
Provider: perplexity
Model: sonar-pro
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: a9d88414-3fa2-44cc-ad21-1762d50894c8_perplexity_*.json
DEEPSEEK
Provider: deepseek
Model: deepseek-chat
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: a9d88414-3fa2-44cc-ad21-1762d50894c8_deepseek_*.json

🧠 AI Analyst Enhancement β€” Professional content synthesis

Click to expand
✨ Analyst Model: CLAUDE

This report includes AI-enhanced analyst content. After gathering raw data from all LLM models, an additional AI call synthesizes the findings into professional narratives, vendor spotlights, strategic insights, and market predictions.

Vendor Spotlights: 3
Strategic Insights: 4
Market Predictions: 3
Archive: a9d88414-3fa2-44cc-ad21-1762d50894c8_claude_0.json
Prompt Template: report_analyst.yaml
The analyst prompt ingests all vendor positions, scores, and initial findings to generate comprehensive professional content for the full PDF report.

πŸ“ Category Analysis Prompt Template

Click to expand
# Market Category Analysis Request

## Category: Supply Chain Management Software

The supply chain management software market exhibits a mature, consolidated structure with clear tier separation. The top tier, dominated by SAP, Oracle, and Blue Yonder, commands both high narrative visibility and strong buyer sentiment, creating significant barriers to entry for emerging competitors. These leaders benefit from comprehensive platform capabilities, extensive partner ecosystems, and substantial R&D investments that enable continuous innovation.

The middle tier reveals interesting dynamics, with established vendors like Infor, E2open, and IBM Sterling occupying challenger positions despite significant market presence and technical capabilities. This positioning suggests that market success increasingly depends on factors beyond pure functionality, including user experience, implementation ease, and ecosystem integration capabilities. The lower tiers show fragmentation, with niche players serving specific verticals or use cases, and laggards struggling with both visibility and sentiment challenges.

Please provide a comprehensive analysis of the **Supply Chain Management Software** market. 

**Important**: Analyze this category based on what it actually represents. This could be:
- A software/technology market (if the category name suggests software, platforms, or technology)
- A services market (consulting, banking, healthcare, etc.)
- A product market (consumer goods, industrial products, etc.)
- An institutional market (banks, universities, hospitals, etc.)
- Any other market type that the category name implies

Let the category name and description guide your interpretation. Do NOT assume this is a software market unless the category explicitly indicates software or technology.

Structure your response as JSON with the following sections:

### Required JSON Structure:

```json
{{{{
  "market_overview": {{{{
    "market_type": "Software|Services|Products|Institutions|Hybrid|Other",
    "summary": "2-3 paragraph overview of the current market state",
    "market_size_estimate": "Estimated market size if known",
    "growth_trajectory": "Growth trends and projections",
    "key_drivers": ["List of key market drivers"],
    "key_challenges": ["List of key challenges"],
    "geographic_context": "Geographic focus if applicable (e.g., Canada, Global, US)"
  }}}},
  "vendors": [
    {{{{
      "name": "Vendor/Company/Institution Name",
      "position": "Leader|Challenger|Niche Player|Emerging",
      "recommendation_score": 8.5,
      "strengths": ["Strength 1", "Strength 2"],
      "weaknesses": ["Weakness 1", "Weakness 2"],
      "best_for": ["Use case 1", "Customer segment 1"],
      "notable_attributes": ["Key differentiator 1", "Key differentiator 2"],
      "market_segment": "Enterprise|Consumer|SMB|Premium|Mass Market|All",
      "summary": "Brief 1-2 sentence description"
    }}}}
  ],
  "competitive_analysis": {{{{
    "must_have_attributes": ["Essential attributes all players should have"],
    "differentiators": ["What separates leaders from others"],
    "emerging_trends": ["New capabilities or offerings gaining traction"],
    "baseline_expectations": ["Basic offerings expected by all customers"]
  }}}},
  "customer_guidance": {{{{
    "evaluation_criteria": ["Key factors to consider when choosing"],
    "common_pitfalls": ["Mistakes to avoid"],
    "by_segment": {{{{
      "enterprise_institutional": "Guidance for large organizations",
      "mid_market": "Guidance for mid-sized organizations or customers",
      "consumer_smb": "Guidance for consumers or small businesses"
    }}}}
  }}}},
  "trends": {{{{
    "rising": ["Trends gaining momentum"],
    "declining": ["Trends losing relevance"],
    "emerging": ["New trends to watch"]
  }}}}
}}}}
```

### Analysis Guidelines:

1. **Market Interpretation**: First determine what type of market this is based on the category name. For example:
   - "Retail Banking in Canada" = Financial services/institutions market
   - "Customer Data Platforms" = Software/technology market
   - "Corporate Gifting" = Products/services market
   - "Expense Management Software" = Software market
   - "Luxury Hotels in Europe" = Services/hospitality market

2. **Player Coverage**: Include at least 10-15 relevant players (vendors, companies, institutions, brands) if the category has that many significant participants. Prioritize by market presence and relevance.

3. **Objectivity**: Provide balanced assessments. Every player has strengths AND weaknesses - include both.

4. **Specificity**: Be specific about offerings, use cases, and recommendations. Avoid generic statements.

5. **Recommendation Scores**: Use a 1-10 scale where:
   - 9-10: Clear leader, recommended for most use cases
   - 7-8: Strong option for specific use cases
   - 5-6: Viable but with notable limitations
   - 3-4: Limited applicability
   - 1-2: Not recommended for most customers

6. **Position Definitions**:
   - **Leader**: High market presence + broadly recommended + strong reputation
   - **Challenger**: High visibility but specific concerns, limitations, or emerging status
   - **Niche Player**: Strong in specific segments but limited broader appeal
   - **Emerging**: Newer entrants or players showing growth potential

7. **Context Sensitivity**: If the category has a geographic focus (e.g., "in Canada", "in Europe"), ensure your analysis reflects that specific market context.

8. **No fabrication / domains**: Do NOT invent vendors or website domains. If a website/domain is unknown, omit it or set it to null/""; prefer well-known, real vendors only.



Please provide your analysis in valid JSON format only, without any markdown code fences or additional text.