The Challenge: Growing Revenue, Shrinking Margins
In early 2024, a mid-tier Singapore infrastructure contractor — specialising in civil works, road infrastructure, and drainage projects across government and private sector clients — faced a paradox familiar to many firms in the local market.
Revenue was growing. The firm had increased its order book by 34% over the previous two years, winning contracts on major LTA road works, PUB drainage improvement projects, and several private sector industrial developments. Annual revenue exceeded SGD 420 million.
But profitability was declining. Net margin had compressed from 7.2% to 4.1% over the same period. The commercial team was stretched thin: six contracts managers and four quantity surveyors were managing 28 active contracts and preparing 8-10 tenders per quarter. The symptoms were clear:
- Tender preparation consumed 1,600 staff-hours per quarter — equivalent to two full-time commercial professionals doing nothing but bid work
- Win rate had dropped to 29% — below the industry average of 38% for firms of similar size
- Variation claim recovery sat at 48% of entitled value — well below the 65-70% benchmark for well-managed portfolios
- Two formal disputes in the previous 12 months had cost SGD 1.3 million in legal fees and management time
The firm's CEO described the situation clearly: "We were winning more work but making less money. Every new project added complexity without adding proportional margin."
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The Diagnosis: Where Time and Money Were Lost
Before deploying DealGuard, the firm underwent a Commercial Operations Assessment — a structured review of how commercial effort was allocated across the contract lifecycle. The findings were revealing:
Time Allocation Analysis
| Activity | Hours/Quarter | % of Commercial Effort | Value Generated |
|---|---|---|---|
| Tender preparation (all tenders) | 1,600 | 38% | Revenue pipeline |
| Contract administration | 1,120 | 27% | Compliance |
| Variation claim management | 680 | 16% | Margin recovery |
| Dispute support | 420 | 10% | Loss mitigation |
| Strategic commercial work | 380 | 9% | Proactive value |
| **Total** | **4,200** | **100%** |
The most striking finding: only 9% of commercial effort was spent on strategic, proactive work — activities like bid strategy, risk pricing, and contract optimisation. The remaining 91% was reactive — responding to tenders, processing claims, managing disputes, and meeting compliance requirements.
Root Cause Analysis
The assessment identified four root causes:
- 1No bid qualification framework: The firm pursued every tender that matched its BCA grading, regardless of risk profile or competitive position
- 2Manual document management: Contract data was spread across 14 spreadsheets, shared drives, and email inboxes
- 3Retrospective variation management: Claims were prepared weeks after qualifying events, with incomplete contemporaneous records
- 4No portfolio-level visibility: The commercial director had no consolidated view of risk across the 28 active contracts
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## The Solution: DealGuard Deployment
The firm deployed DealGuard's Commercial Intelligence platform over a 14-week implementation period, focusing on three modules:
Module 1: Tender Intelligence (Weeks 1-5)
- Integration with GeBIZ for automated government tender monitoring
- Historical bid database loaded with the firm's 5-year tender history
- Win-probability scoring activated for all new tender opportunities
- Bid/no-bid qualification framework implemented with 28 evaluation criteria
Module 2: Contract Risk Scoring (Weeks 4-9)
- All 28 active contracts digitised and parsed
- Risk scoring applied across the portfolio
- Automated payment monitoring connected to the firm's accounting system
- Alert workflows configured for the commercial team
Module 3: Variation Management (Weeks 8-14)
- Real-time variation detection activated
- Documentation templates and checklists deployed to project teams
- Claim tracking dashboard providing visibility from identification through payment
- Integration with project management system for programme-linked variation triggers
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The Results: 12 Months Post-Deployment
Tender Operations Transformation
| Metric | Before DealGuard | After DealGuard (12 Months) | Change |
|---|---|---|---|
| Tenders pursued per quarter | 8-10 | 5-6 | -40% (strategic reduction) |
| Tender preparation hours per bid | 160-200 | 80-95 | -52% |
| Total tender preparation hours/quarter | 1,600 | 475 | -70% |
| Win rate | 29% | 47% | +62% improvement |
| Average margin on won contracts | 4.8% | 6.9% | +2.1 percentage points |
The most significant change was not efficiency — it was selectivity. By pursuing fewer, better-qualified tenders, the firm improved both its win rate and the quality of contracts won. The bid/no-bid framework prevented pursuit of 14 tenders over 12 months that scored below the qualification threshold — including 3 that were subsequently won by competitors at margins below 3%.
Contract Performance Improvement
| Metric | Before DealGuard | After DealGuard (12 Months) | Change |
|---|---|---|---|
| Variation claim recovery rate | 48% of entitlement | 76% of entitlement | +58% improvement |
| Average dispute resolution time | 11.2 months | 6.8 months | -39% |
| Formal disputes initiated | 2 per year | 0 in 12 months | -100% |
| Compliance audit findings | 7 (previous BCA audit) | 1 (subsequent audit) | -86% |
Financial Impact
The CFO quantified the 12-month financial impact:
- Recovered variation margin: SGD 2.8 million (from improved recovery rate across portfolio)
- Tender cost savings: SGD 890,000 (from reduced preparation hours and selective bidding)
- Dispute cost avoidance: SGD 650,000 (estimated, based on previous dispute cost history)
- Improved contract margins: SGD 1.4 million (from better risk pricing on new contracts won)
- Total quantified benefit: SGD 5.74 million
Against a total Year 1 investment of SGD 298,000 (platform license, implementation, and training), the firm achieved 19.3x ROI — significantly above the benchmarked average of 3.8x. The exceptional result was driven primarily by the firm's low starting position: with a 29% win rate and 48% variation recovery rate, there was substantial improvement potential.
Recommended Reading
- How AI Pricing Risk Analysis Reduces Contract Losses by 34% for UAE EPC Firms
- How AI Contract Risk Scoring Reduces Disputes by 41% for Singapore Infrastructure Firms
- How AI Tender Win-Probability Scoring Improves Bid Success by 47% for Australian Infrastructure Firm
## Key Success Factors
The firm's Commercial Director identified five factors that contributed to successful adoption:
1. CEO Sponsorship The CEO treated the deployment as a business transformation initiative, not a technology project. Commercial intelligence was discussed at every monthly management meeting.
2. Phased Module Activation Deploying modules sequentially allowed the team to build confidence with tender intelligence before taking on contract risk scoring and variation management.
3. Data Quality Investment The firm invested 240 hours in cleaning and organising historical contract data before system ingestion. This upfront investment paid dividends in model accuracy.
4. Changed Behaviour, Not Just Technology The bid/no-bid framework required commercial discipline that initially felt uncomfortable. Walking away from tenders was culturally difficult but financially rewarding.
5. Measuring and Communicating Results Monthly reporting on key metrics (win rate, recovery rate, tender costs) created visible evidence of impact that sustained organisational commitment.
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Lessons for Singapore Infrastructure Firms
This case study reinforces several principles applicable across Singapore's infrastructure sector:
- Selectivity beats volume in tender pursuit. Fewer, better-qualified bids produce higher win rates and better margins than bidding on everything.
- Contemporaneous variation management is the single highest-value activity a commercial team can perform. The difference between 48% and 76% recovery rate on a SGD 420 million portfolio is substantial.
- The ROI case is strongest for firms with the largest gap between current performance and benchmarked best practice. If your win rate is below 35% or your variation recovery is below 55%, the return on commercial intelligence investment is likely to exceed 5x in Year 1.
- Cultural change matters more than technology. The platform provides the data; the team must act on it.
For more on how commercial intelligence transforms infrastructure operations in Singapore, visit our Commercial Intelligence services page or explore construction industry solutions.
