Client Overview
The client, a North America–based nutraceutical and dietary supplements company, produces herbal and botanical capsules, powders, and functional beverages. Curcumin 95% extract is one of its core actives, used in joint health, anti-inflammatory, and immune support product lines. Procurement was primarily dependent on Indian suppliers and faced challenges in volatile turmeric root prices, inconsistent supplier quotes, and lack of visibility into global alternatives.
Research Objective
The client engaged FMI to build a procurement-ready curcumin pricing intelligence system with the following objectives:
- Establish a monthly Ingredient Pricing Index (IPI) for curcumin 95% across India, China, and Vietnam.
- Create a historical (2018-2025) + forecast (2026-2030F) pricing dataset with MoM/YoY analysis, rolling averages, and volatility measures.
- Develop a Trade Flow Dashboard mapping HS-code-based import/export volumes, average unit values, and top origins/suppliers.
- Provide a Price Ladder & Should-Cost model to benchmark fair supplier pricing.
- Implement a Supplier Quote Triangulation framework with anonymized, timestamped quotes for negotiation support.
Scope of Work
FMI’s scope included:
- Ingredient Pricing Index: Normalized monthly curcumin prices by grade/form, Incoterm (FOB, CIF, Ex-Works), and currency.
- Market Pricing Dataset: Integration of historical + forward-looking data with volatility indices.
- Trade Flow Analysis: Mapping India, China, and Vietnam exports to US, EU, and Japan.
- Should-Cost Modeling: Disaggregating feedstock (turmeric root), solvents, utilities, labor, freight, packaging, and duties.
- Supplier Triangulation: Structuring monthly min/median/max ranges across 10+ anonymized suppliers.
FMI’s Approach & Solution
1. Ingredient Pricing Index (IPI):
- Built a monthly normalized price index (2018-2030F) for curcumin 95% powder and liquid.
- Differentiated by Incoterm (FOB India, CIF EU, Ex-Works China) for transparency.
2. Market Pricing Dataset:
- Produced historical + forecasted monthly datasets.
- Tracked MoM/YoY deltas, rolling averages, and a 6-month volatility measure.
3. Trade Flow Dashboard:
- Analyzed HS codes (130219, 091030) for curcumin/turmeric extracts.
- Identified India as 70%+ global export leader, with China and Vietnam emerging as alternatives.
- Highlighted seasonal price pressures tied to Indian turmeric harvest cycles.
4. Price Ladder & Should-Cost:
- Revealed feedstock accounted for ~65% of total curcumin cost drivers.
- Sensitivity modeling simulated +10% turmeric price or +20% freight cost scenarios.
5. Supplier Quote Triangulation:
- Consolidated quotes from Indian, Chinese, and European distributors.
- Structured anonymized ranges to show monthly min/median/max benchmarks.
- Flagged outliers where supplier quotes were >12% above fair market benchmark.
Outcome & Impact
- Cost Savings: Client negotiated curcumin supply contracts down by 10-12%, saving several million USD annually.
- Supplier Diversification: Reduced reliance on India by onboarding Chinese and Vietnamese suppliers, mitigating crop dependency risk.
- Procurement Confidence: Procurement team now had data-backed should-cost models to challenge supplier pricing.
- Forecasting Capability: Improved 5-year budget forecasts, aligning sourcing strategy with market cycles.
- Board-Level Reporting: Trade flow and pricing dashboards became part of quarterly executive procurement reviews.
Key Recommendations
- Diversify Origins: Maintain active supplier contracts in India, China, and Vietnam to reduce volatility.
- Use Should-Cost in RFQs: Benchmark all supplier quotes against the modeled cost ladder.
- Seasonal Planning: Align purchase contracts with turmeric harvest seasons to lock in favorable pricing.
- Adopt Escalation/De-escalation Clauses: Link contracts to feedstock and freight indices to manage volatility.
- Quarterly Updates: Refresh IPI and trade flow dashboards every quarter for up-to-date procurement leverage.
