Phase 1 · Sense · Stage 1/16Elevated
National food supply position — today
One screen answers the first executive question: how many days of cover does the Kingdom hold for each staple, where is that cover under pressure, and what is the system already doing about it.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Supply corridor map
- Jeddah — berths 91% · +6–9 d
- Dammam · Jubail — 42% spare
- Bab el-Mandeb — Red Sea rerouting · +12–16 d
- Strait of Hormuz — open · watch
- Suez Canal
- King Abdullah Port
- Yanbu
- Riyadh silos & mills — central reserve · 71% util.
- Kingdom of Saudi Arabia
- Americas — Brazil · Argentina · US
- EU / Black Sea — wheat, barley, sunflower oil
- India · Pakistan — rice (68% from India)
- Indonesia · Malaysia — palm oil
- Australia — wheat, barley
Wheat & barleyRiceCorn & feedEdible oilPortChokepoint
Active early warnings
Open warning center ›Critical
Rice days of cover projected below 20 within 14 days
Warning
Feed-grain supply stress: Brazil crop signal and lane delay
Advisory
Jeddah grain-berth congestion; wheat lane +6–9 days
3 of 5 warnings shown
Illustrative demo data. Reserve and import figures approximate published ranges (USDA GAIN, GFSA statements); portfolio exposures are synthetic.
Decisions waiting for you
Above SAR 50 m or Critical tierCritical
Approve rice origin diversification (+220 kt, three origins)
Warning
Approve local feed activation and aggregated tender
Days of cover by staple
Click a staple to open its risk profile · bar = cover vs. policy targetRice82
28days
target 90 · local 0%
Corn & feed grains66
63days
target 120 · local 4%
Edible oil47
58days
target 90 · local 9%
Wheat41
118days
target 180 · local 26%
Barley38
71days
target 120 · local 2%
Poultry29
44days
target 45 · local 72%
Sugar24
77days
target 90 · local 12%
Dairy18
39days
target 30 · local 78%
Continuously fuses 14 global and domestic signals, scores supply risk per staple, warns weeks before shelves feel it, and turns each warning into approved, tracked actions — including which Saudi suppliers can cover the gap.
Saudi Arabia imports roughly 80% of its food. Wheat demand is ~4.2 MMT against ~1.1 MMT local production; strategic wheat cover is measured in months, rice has no strategic reserve, and two maritime corridors carry most of it.
Every warning ends in a localization check: which local manufacturers, feed mills and growers can absorb demand now — and which imported categories justify building local capacity. Qualified demand is handed to the MUSAHAMA supplier platform.
Phase 1 · Sense · Stage 2/16Elevated
Signals the system listens to
Fourteen feeds across global markets, climate, shipping, ports, reserves and portfolio-company demand. Each is validated, normalized to one commodity taxonomy (Arabic and English) and written into the national supply digital twin.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Feed status
● live ● delayed ● demo snapshot
Simulated feed (demo) — the dot is each source's intended production cadence, not a live connection.
FAO GIEWS food pricesGlobal & domestic price series
World Bank commodity pricesMonthly Pink Sheet + futures proxy
USDA PSD / GAINProduction, imports, stocks by origin
UN ComtradeImport origins and concentration
CHIRPS rainfallSupplier-country precipitation anomalies
MODIS NDVICrop stress in origin regions
6 of 14 feeds shown
Coverage today
- Staples tracked
- 8 (wheat, rice, corn/feed, barley, poultry, dairy, edible oil, sugar)
- Origin countries
- 23
- Sea lanes & chokepoints
- 7 lanes · 3 chokepoints
- Ports & silos
- 5 ports · 11 silo sites · 34 mills
- Portfolio companies
- 6 connected (demand & stock exports)
- Local suppliers indexed
- 412 from MUSAHAMA + LCGPA lists
- Refresh cadence
- Prices hourly · shipping 15 min · climate daily · reserves weekly
The platform runs on cached snapshots, so nothing on screen depends on a live API.
Ingestion pipeline
Data engineering layerConnectAPIs, CSV/Excel drops, ERP exports, AIS stream
ValidateSchema, units, freshness, outlier gates
NormalizeCommodity taxonomy · Arabic ↔ English · units · origins
Digital twinStocks, flows, lanes, capacities as one graph
PublishFeature store for engines and analyst queries
Phase 2 · Understand · Stage 3/16Elevated
How a signal becomes a risk score
Six engines run on the digital twin. Every output is explainable: a score always decomposes into the signals that produced it, and the AI never acts on its own — it drafts, people decide.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Demand & stock model
Consumption per staple by region and season (Ramadan, Hajj, summer) against silo, port and commercial stocks.
Out: days of cover, drawdown rate
Lane & chokepoint monitor
AIS vessel tracking, transit times, insurance premia and port berth queues per corridor.
Out: lead-time delta, corridor status
Origin health
Crop stress (NDVI, rainfall), export policy changes, harvest forecasts per supplier country.
Out: origin reliability index
Price & anomaly detection
Statistical baselines on GIEWS, World Bank and futures series; isolation-forest outliers.
Out: price shock probability
Forecast & scenario simulator
Time-series projection of cover and price under disruption scenarios with adjustable duration and severity.
Out: 14 / 30 / 90-day projections
Localization & sourcing optimizer
Matches a supply gap to local capacity (MUSAHAMA / LCGPA), alternative origins and portfolio demand aggregation; optimizes cost × local content × lead time.
Out: ranked, explainable options
Composite risk index — worked example: rice
82 · CriticalDays of cover vs floor28 d vs 30 d floor, no reserve · weight 35%+34
Import concentrationIndia 68% of supply · weight 20%+18
Origin policy riskExport restriction active · weight 15%+15
Lane / chokepoint delay+12–16 d Red Sea · weight 15%+11
Price shock+18% / 30 d · weight 10%+4
Demand seasonalityPost-Hajj normal · weight 5%+0
Composite82
Weights are policy-configurable by GFSA. Tiers: 0–34 Watch · 35–54 Advisory · 55–74 Warning · 75–100 Critical.
| Risk investigator | Explains any score in plain language, cites the rows behind it |
| Localization analyst | Finds Saudi suppliers with capability and spare capacity for a gap |
| Sourcing analyst | Drafts tender briefs and alternative-origin options with lead times |
| Executive reporter | Writes the daily national position brief in Arabic and English |
Guardrail: assistants retrieve from the digital twin only (RAG), cite evidence for every claim, and cannot execute procurement, release reserves or change allocations.
Phase 2 · Understand · Stage 4/16Elevated
Risk by commodity
Ranked by composite risk. Import concentration is the share of the top origin; higher concentration means one policy change abroad moves the whole staple.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
| Staple | Composite risk | Days of cover / target | Top origin (concentration) | Price 30 d | Price trend | Local share |
|---|---|---|---|---|---|---|
| Rice أرز · 1.6 MMT / yr | 82 · Critical | 28 / 90 | India 68% | +18.2% | 0% | |
| Corn & feed grains ذرة وأعلاف · 4.7 MMT / yr | 66 · Warning | 63 / 120 | Brazil 44% | +9.1% | 4% | |
| Edible oil زيوت · 1.1 MMT / yr | 47 · Advisory | 58 / 90 | Indonesia / Malaysia 46% | +7.3% | 9% | |
| Wheat قمح · 4.2 MMT / yr | 41 · Advisory | 118 / 180 | EU / Black Sea 34% | +6.4% | 26% | |
| Barley شعير · 4.0 MMT / yr | 38 · Advisory | 71 / 120 | Australia 38% | +3.2% | 2% | |
| Poultry دواجن · 1.9 MMT / yr | 29 · Watch | 44 / 45 | Local 72% | +1.8% | 72% | |
| Sugar سكر · 1.3 MMT / yr | 24 · Watch | 77 / 90 | Brazil 58% | -1.1% | 12% | |
| Dairy ألبان · — | 18 · Watch | 39 / 30 | Local 78% | +0.9% | 78% |
Illustrative demo data. Click a row to open the commodity profile.
Phase 2 · Understand · Stage 5/16Elevated
Corridors, chokepoints and ports
Food reaches the Kingdom through two coasts and three chokepoints. The map shows which lanes carry which staple, where transit is delayed, and how much port and silo capacity remains on each coast.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
National supply corridor map
- Jeddah — berths 91% · +6–9 d
- Dammam · Jubail — 42% spare
- Bab el-Mandeb — Red Sea rerouting · +12–16 d
- Strait of Hormuz — open · watch
- Suez Canal
- King Abdullah Port
- Yanbu
- Riyadh silos & mills — central reserve · 71% util.
- Kingdom of Saudi Arabia
- Americas — Brazil · Argentina · US
- EU / Black Sea — wheat, barley, sunflower oil
- India · Pakistan — rice (68% from India)
- Indonesia · Malaysia — palm oil
- Australia — wheat, barley
Wheat & barleyRiceCorn & feedEdible oilPulsing = active disruption
Corridor status
| Corridor | Status | Transit Δ |
|---|---|---|
| Suez → Red Sea → Jeddah / Yanbu / KAP | Disrupted | +12–16 d |
| Bab el-Mandeb (India, Australia lanes) | Rerouting | +9–14 d |
| Hormuz → Dammam / Jubail | Open · watch | +2 d |
| Cape route (fallback) | Active fallback | +14–20 d |
| Inland: ports → Riyadh silos | Normal | 0 |
Port & silo headroom
| Site | Utilization | Spare |
|---|---|---|
| Jeddah Islamic Port — grain berths | 9% | |
| King Abdullah Port | 36% | |
| Dammam — grain terminal | 42% | |
| Central silos (Riyadh, Qassim) | 29% |
Simulated feed (demo) — lane status and port utilization are a cached scenario, not live AIS or Mawani data.
Phase 3 · Warn · Stage 6/16Elevated
Early-warning center
A warning fires when the composite risk crosses a tier threshold or projected days of cover fall below policy. Each warning carries its triggers, corroborating sources, confidence and who is exposed — so the reader can trust it before acting on it.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Warnings
Critical
Rice days of cover projected below 20 within 14 days
Warning
Feed-grain supply stress: Brazil crop signal and lane delay
Advisory
Jeddah grain-berth congestion; wheat lane +6–9 days
Advisory
Palm oil +7% after Indonesian export levy change
Advisory
Feed cost pass-through into poultry expected in 6–8 weeks
Resolved
Sugar advisory closed — Brazil harvest on track
Critical AL-2041 · Today 06:40
Rice days of cover projected below 20 within 14 days
- Commodity
- Rice
- Projection
- 28 → 19 days by day 14 without action
- Threshold
- Policy floor 30 days
- Confidence
- High
- Evidence
- 3 signals · 2 independent sources corroborate
- India non-basmati export restriction extended (export-policy monitor, GIEWS)
- Red Sea rerouting adds 12–16 days on the India → Jeddah lane (AIS)
- Commercial rice stocks at 28 days; no strategic reserve (GFSA)
Status
NewAcknowledgedValidatedAssignedResolved
PIF Executive, GFSA director, exposed companies — SMS + email within 5 min; escalates to PIF Governor if unacknowledged in 2 h
Who is exposed
SALICRetail portfolioGFSA
How this was raised: composite risk crossed the Critical threshold and projected cover fell below the policy floor. The AI explained the score; a GFSA analyst validated the triggers before it reached executives.
Phase 3 · Warn · Stage 7/16Elevated
Forecast and what-if scenarios
Pick a disruption, set how long and how severe, and the twin projects days of cover, price pressure and which portfolio companies feel it first. Analysts use this to test responses before a crisis, not during one.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Scenario
Presets are grounded in disruptions the Kingdom has actually facedProjected days of cover
Grey = today · colored = end of scenario without actionStapleCover vs. targetTodayDay 30
Rice28 d18 d
Wheat118 d113 d
Corn & feed grains63 d57 d
Barley71 d66 d
Edible oil58 d54 d
Who feels it first
SALICRetail portfolioGFSAFlour mills (MODON)NADECAlmaraiHPDCPoultry integratorsLivestock sectorSavola-type refiners
Price pressure (90-day)
Simulated feed (demo) — the price index is a modelled series, not a live market feed.
Phase 4 · Decide · Stage 8/16Elevated
Recommended actions
For every warning the optimizer ranks response options on cost, lead time, local content and residual risk, and states the evidence behind each. Recommendations are drafts for people to approve — nothing executes on its own.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
WarningRanked by expected value · gold = recommended
AdvisoryJeddah grain-berth congestion; wheat lane +6–9 days118 → 111 days; above floor
1
Shift 2 EU wheat cargoes from Jeddah to King Abdullah Port Recommended
KAP grain berths have 36% spare; inland transfer to central silos unchanged.
Lead time−5 d
Cost+0.8%
Local contentn/a
Residual riskLow
Evidence: KAP utilization 64% (port ops); rail/road slot availability confirmed.
2
Priority berthing for grain at Jeddah (Mawani request)
Temporary priority window for food cargoes during Red Sea diversion.
Lead time3 d
Cost—
Local contentn/a
Residual riskMedium
Evidence: berth queue composition (port ops).
Phase 4 · Decide · Stage 9/16Elevated
Local supply that can cover the gap
This is where early warning meets Musahama. For the feed-grain warning, the localization engine finds Saudi mills and growers with capability and spare capacity, scores the match, and packages the aggregated portfolio demand for the MUSAHAMA supplier platform.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Supply gap to cover (feed)
140kt / 60 days
From warning AL-2038
Local spare capacity found
210kt
Gap fully coverable locally
Local content uplift
+11pts
Feed category, 4% → 15%
Aggregated portfolio demand
3companies
NADEC · Almarai · HPDC — one tender
Matched local suppliers
Sources: MUSAHAMA directory, LCGPA local-content scores, supplier capacity declarations (synthetic)| Supplier | Location | Capability | Spare capacity (kt / 60 d) | Local-content score | Lead time | MUSAHAMA | Match |
|---|---|---|---|---|---|---|---|
| Al Kharj Feed Industries | Al Kharj | Compound feed, barley blends | 62 | 48 | 8 d | Registered | 94 |
| National Feed Co. | Dammam | Poultry & dairy rations | 48 | 44 | 10 d | Registered | 91 |
| Qassim Grain Millers | Buraydah | Wheat bran, barley milling | 36 | 52 | 9 d | Registered | 87 |
| Eastern Agri Processors | Al Ahsa | Alfalfa & feed pellets | 34 | 39 | 12 d | Pending verification | 78 |
| Tabuk Green Growers | Tabuk | Barley (irrigated, licensed) | 30 | 61 | 14 d | Registered | 74 |
| Total matched | 210 | Covers the 140 kt gap with 70 kt headroom; 3 of 5 suppliers within 10 days. | |||||
Where no local substitute exists (e.g. rice), the engine says so and routes to diversification and reserve policy instead.
| Imported category | Annual import | Local capability | Signal |
|---|---|---|---|
| Compound feed & premix | ~SAR 4.1 bn | Exists, under-utilized | Localizable now |
| Edible oil refining & packing | ~SAR 2.6 bn | Partial (crude imported) | Localizable now |
| Rice | ~SAR 5.0 bn | No domestic production | Diversify + reserve |
| Durum & pasta inputs | ~SAR 1.2 bn | Demand justifies new capacity | Build-case candidate |
A warning that only says "risk" leaves executives with nothing to do. Firasah closes the loop: every gap is tested against local capacity first, then alternative origins, then reserves. Over time the log of gaps that had no local answer becomes the national build-case list — imported spend that justifies new Saudi capacity.
That is the Musahama thesis in operational form: portfolio demand becomes industrial-development intelligence.
Phase 5 · Act & learn · Stage 10/16Elevated
Response workflow
Approved options become tasks with an owner, a deadline and an audit trail. Every step is human-gated: review, validate, approve, execute. Try it — approve a card and watch it move.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Review1
AL-2041Draft 60-day strategic rice reserve policy brief
GFSA policy · due Sep 20
Validate2
AL-2041Re-declare discharge port to Dammam for 3 India vessels
SALIC logistics · Mawani · due Sep 4
AL-2038Publish aggregated feed tender to MUSAHAMA
PIF local content team · due Sep 7
Approve2
AL-2041Open Pakistan / Vietnam / Thailand rice tenders (+220 kt)
SALIC procurement · due Sep 6
AL-2038Activate local feed supply — 140 kt across 5 mills
NADEC · Almarai · HPDC · due Sep 8
Execute1
AL-2038Approve 20-day feed-grain reserve bridge
GFSA operations · due Sep 3
Done1
AL-2031Forward cover on Malaysian palm oil (60 days)
Refiners · due Sep 10
Completed · outcome tracked
Audit trail
Immutable, exportable- Today 06:41System · AL-2041 raised to Critical (risk 82). Evidence attached: 3 signals.
- Today 06:52Executive reporter · Daily national brief published (AR/EN).
- Today 07:15GFSA analyst · Validated AL-2041 triggers; confidence confirmed High.
- Today 07:30PIF Executive · Approved T6 reserve bridge; second signature GFSA ops.
- Today 07:34Localization analyst · Found 210 kt local feed capacity for AL-2038 gap.
Phase 5 · Act & learn · Stage 11/16Elevated
Monitoring and outcomes
The system keeps watching after actions are taken: did cover recover, at what cost, and how much of the response was local? Outcomes feed back into the models, so every event makes the next warning sharper.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Rice cover, with response
41days
from 19 projected · above 30-day floor
Feed cover, with response
79days
from 48 projected
Local share of feed response
62%
+11 pts local content in feed
Average warning lead time
25days
before a policy floor is breached
Days of cover — projected vs. with response
Rice (red) and feed (orange)National resilience score
12-month trendSimulated feed (demo) — outcome and resilience trends are modelled from the demo scenario, not measured.
Outcome log
Feeds the learning loop| Event | Warning lead time | Response | Cover restored | Local share of response | Learning |
|---|---|---|---|---|---|
| Red Sea disruption + India rice restriction | 19 days before threshold | Origin diversification, Gulf-lane routing | 19 → 41 d | 0% (no local substitute) | Rice reserve policy proposal raised |
| Brazil feed-grain stress | 26 days | Local feed activation + joint tender | 48 → 79 d | 62% | Feed mills' capacity model updated |
| Palm oil levy change | 31 days | Forward cover, Malaysian origin | Stable | 18% | Refining localization case strengthened |
Phase 5 · Act & learn · Stage 12/16Elevated
Stakeholders, governance and scale
Who sees what, what the AI may never do, and how one national twin grows from a pilot to the whole PIF portfolio and beyond.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Roles and permissions
| View national position | Run scenarios | Approve actions | Execute procurement | See other companies' stock | |
|---|---|---|---|---|---|
| PIF Executive | |||||
| GFSA Analyst | |||||
| Portfolio Procurement | |||||
| Local Supplier | |||||
| Government observer | |||||
| Firasah AI |
● full ● aggregated / own scope only ● none. Suppliers see only demand signals addressed to them.
7 guardrails
Human approval on every actionAI drafts options; a named person approves, and execution needs a second role.
Evidence or it doesn't shipEvery score, warning and recommendation links to the rows that produced it.
Tenant isolationCompany stock and contracts are partitioned; the national view is aggregated.
Confidentiality by designReserve volumes are classified: shown as days of cover and tiers, never as tonnes, outside GFSA.
Model governanceVersioned weights and prompts, evaluation gates, drift monitoring, full audit log.
Assistant is scopedChat and voice can navigate, answer and draft; approvals it triggers are user commands, logged "via assistant", and still gated by the workflow.
Sovereign-readyLLM layer is swappable to HUMAIN / ALLaM for in-Kingdom hosting.
System architecture
Green = core twin · gold = localization engineSources
Ingestion
Normalization
Digital twin
Risk engines
Forecast
AI assistants
Localization optimizer
Human approval
Monitoring
Hackathon build: Next.js · Python/FastAPI · PostgreSQL + pgvector · Claude Sonnet 5 / Haiku 4.5 · BGE-M3 embeddings · cached data snapshots. Production: lakehouse, streaming ETL, SSO/RBAC, HUMAIN hosting.
Policy settings (GFSA)
Change a floor and watch stages 1 and 4 re-score| Staple | Cover today | Policy target (days) | Floor (⅓ of target) |
|---|---|---|---|
| Rice | 28 | 30 | |
| Corn & feed grains | 63 | 40 | |
| Edible oil | 58 | 30 | |
| Wheat | 118 | 60 | |
| Barley | 71 | 40 | |
| Poultry | 44 | 15 | |
| Sugar | 77 | 30 | |
| Dairy | 39 | 10 |
Risk weights
| Days of cover vs floor | 35% |
| Import concentration | 20% |
| Origin policy risk | 15% |
| Lane / chokepoint delay | 15% |
| Price shock | 10% |
| Demand seasonality | 5% |
Weights are versioned; every change is logged with the approver.
4 phases
PilotGFSA + SALIC, 4 staples, weekly refresh
Portfolio food companiesNADEC, Almarai, HPDC, Saudi Fisheries — demand aggregation live
PIF ecosystem150+ companies; localization build-case list feeds Musahama and NIDLP
National / GCCMEWA, LCGPA, GFSA shared twin; GCC transshipment visibility
Phase 6 · Spend intelligence · Stage 13/16Snapshot
Portfolio spend position
The same platform, pointed at the official PIF Challenge 2 purchase-order data. One screen answers what a portfolio owner asks first: how much is being spent, by whom, with whom, on what — and how much of it leaves the Kingdom.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Total portfolio spend
SAR 150.98M
1,114 PO lines · 628 purchase orders
Buying companies
191
33 vendors · 12 expense categories
Local content
89.8%
SAR 135.63M with vendors inside the Kingdom
Foreign exposure
10.2%
SAR 15.35M · concentrated in 2 of 12 categories
Spend by expense category
Bar length = share of the largest category · gold = the foreign part of it| Expense category | Spend (SAR) | Share of portfolio | % of total | % foreign | PO lines |
|---|---|---|---|---|---|
| Advertising | 47,989,417 | 31.8% | 0.0% | 74 | |
| Marketing & Events | 37,606,754 | 24.9% | 0.0% | 76 | |
| Software Subscriptions | 21,787,798 | 14.4% | 66.2% | 114 | |
| IT Hardware | 9,494,634 | 6.3% | 0.0% | 97 | |
| Travel & Logistics | 9,470,467 | 6.3% | 0.0% | 90 | |
| Cloud Infrastructure | 9,444,087 | 6.3% | 0.0% | 99 | |
| Facilities Maintenance | 5,620,419 | 3.7% | 0.0% | 105 | |
| Fleet Maintenance | 3,647,639 | 2.4% | 0.0% | 100 | |
| Factory Operations | 2,840,341 | 1.9% | 0.0% | 98 | |
| Employee Safety | 1,351,159 | 0.9% | 68.4% | 80 | |
| Warehouse Supplies | 1,346,315 | 0.9% | 0.0% | 96 | |
| Store Consumables | 378,300 | 0.3% | 0.0% | 85 |
Local vendorsForeign vendors
Monthly spend
44 months · Jan 2023 → Aug 2026Local vendorsForeign vendorsPurchase orders are lumpy by nature: one exhibition or licence renewal moves a whole month.
Top 12 of 33
| Vendor | Spend (SAR) | Share of portfolio | % of total | % foreign | PO lines |
|---|---|---|---|---|---|
| Vision Marketing Group | 25,525,668 | 16.9% | 0.0% | 36 | |
| EventPro Arabia | 22,610,423 | 15.0% | 0.0% | 45 | |
| Prime Exhibitions | 14,996,331 | 9.9% | 0.0% | 31 | |
| Riyadh Media | 14,582,086 | 9.7% | 0.0% | 22 | |
| AdVantage KSA | 7,881,663 | 5.2% | 0.0% | 16 | |
| ERP Solutions Arabia | 7,364,237 | 4.9% | 0.0% | 28 | |
| SecureNet | 5,065,294 | 3.4% | 100.0% | 28 | |
| Express Logistics KSA | 4,977,578 | 3.3% | 0.0% | 43 | |
| GulfPC Distribution | 4,941,163 | 3.3% | 0.0% | 46 | |
| OfficeSuite Pro | 4,919,180 | 3.3% | 100.0% | 30 | |
| TechSource Arabia | 4,553,471 | 3.0% | 0.0% | 51 | |
| Gulf Air Cargo | 4,492,889 | 3.0% | 0.0% | 47 |
12 of 33 vendors shown
Top 12 of 191
| Portfolio company | Spend (SAR) | Share of portfolio | % of total | PO lines |
|---|---|---|---|---|
| Saudi Technology And Security Comprehensive Control Company | 4,691,095 | 3.1% | 9 | |
| Industrialization And Energy Services Company | 3,915,327 | 2.6% | 7 | |
| Rabigh Arabian Water and Electricity | 3,535,092 | 2.3% | 9 | |
| Saudi Information Technology Company | 3,464,741 | 2.3% | 11 | |
| Jeddah Central Development Company | 3,391,284 | 2.2% | 16 | |
| Saudi Real Estate Refinance Company | 3,276,120 | 2.2% | 5 | |
| AlBalad Development Company | 3,149,475 | 2.1% | 10 | |
| AlWaha Duty Free Company | 3,142,276 | 2.1% | 12 | |
| Alinma Bank | 2,742,621 | 1.8% | 5 | |
| Jubail Energy Services Company | 2,716,214 | 1.8% | 12 | |
| Saudi Heritage Hospitality Company | 2,704,931 | 1.8% | 7 | |
| Boutique Group | 2,673,324 | 1.8% | 10 |
12 of 191 companies shown
Served from the pinned snapshot · no database is configured for this deployment · data/source/Challenge2_PO_Spend_Data.xlsx · SHA-256 aa117d9e076d… · every figure on stages 13-16 is computed from it
Phase 6 · Spend intelligence · Stage 14/16Snapshot
Aggregation opportunities
Portfolio companies buy the same things separately, and pay very different prices for them. The engine groups every purchase-order line by item, finds what three or more companies buy, and prices the gap between what each pays and what a good buyer in the same portfolio already pays.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Saving identified
SAR 28.6M
across 49 items bought by 3 or more companies
Items worth aggregating
49
of 49 distinct items in the portfolio
Saving as a share of that spend
19.0%
every line harmonised to the lower quartile unit price
Most widely bought item
32companies
International Courier - Express
The largest single opportunity
SP-A01 · Marketing & Events · 33 PO linesConference Booth Rental - 3 Days
29 buying companies2 vendorsPrice spread93.1%
Spend on this itemSAR 20.57M
Saving at p25SAR 5.1M
Saving on this item24.8%
The highest price paid for this item is 93.1% above the lowest, for the same thing, inside one portfolio. Harmonising every line to the lower quartile — what the better-buying quarter of these companies already pays — releases SAR 5.1M without a single supplier negotiation beyond the tender itself.
Alinma Bank37,015 · 2.5M
AlBalad Development Company33,979 · 1.8M
King Abdullah Financial District Development and Management Company38,434 · 1.6M
Emaar The Economic City35,643 · 1.5M
Kafa'at(Business Solutions Competencies)33,458 · 1.4M
Boutique Group36,077 · 1.3M
Central Ar Riyadh Development Company21,184 · 1.2M
Saudi Entertainment Ventures27,910 · 1.2M
Saudi Company for Visa and Travel Solutions (SVTS)26,650 · 1.1M
Folk Maritime Services Company36,083 · 1.0M
Future Artificial Intelligence Company36,023 · 1.0M
Saudi Real Estate Refinance Company33,935 · 916,245
AlWaha Duty Free Company31,322 · 814,372
Saudi Information Technology Company22,343 · 536,232
Diriyah Gate Company30,264 · 423,696
Elm Company21,190 · 296,660
Water Solutions Company32,742 · 294,678
SAMI Navantia Naval Industries20,215 · 242,580
Yanbu Cement Company29,078 · 232,624
Pharmaceutical Investment Company38,692 · 232,152
Saudi Global Ports Company (Singapore)38,680 · 193,400
POSCO E&C Saudi Arabia23,618 · 165,326
Arabian Industrial Fibers Company22,367 · 156,569
Regional Voluntary Carbon Market Company35,538 · 142,152
National Gas and Industrialization Company34,961 · 104,883
Salwan Tourism Real Estate Development Company23,023 · 46,046
The Saudi Company to exchange information electronically (TABADUL)28,898 · 28,898
SenseTime MEA Limited28,208 · 28,208
Zamil Offshore Services Company20,761 · 20,761
Ranked aggregation opportunities
Approving a tender creates an owned, dated task in the response workflow Open the board ›| Item | Buyers | Vendors | Unit price, low → high | Spread | Target (p25) | Spend | Saving at p25 | |
|---|---|---|---|---|---|---|---|---|
| Conference Booth Rental - 3 Days SP-A01 · Marketing & Events | 29 | 2 | 20,215 → 39,028 | 93.1% | 24,210 | 20,574,122 | 5,098,424 | |
| Highway Billboard - 30 Days SP-A02 · Advertising | 20 | 3 | 32,334 → 58,698 | 81.5% | 36,536 | 21,156,998 | 3,578,178 | |
| Social Media Campaign - Monthly SP-A03 · Advertising | 16 | 3 | 15,078 → 34,503 | 128.8% | 21,839 | 12,760,773 | 2,534,252 | |
| Print Ad - Full Page SP-A04 · Advertising | 20 | 3 | 12,335 → 24,246 | 96.6% | 14,727 | 9,269,695 | 2,192,816 | |
| Corporate Event Catering (100 pax) SP-A05 · Marketing & Events | 16 | 2 | 15,812 → 29,495 | 86.5% | 17,121 | 10,271,195 | 1,881,383 | |
| ERP Module License (Finance) SP-A06 · Software Subscriptions | 28 | 4 | 10,878 → 19,965 | 83.5% | 13,210 | 11,277,175 | 1,722,609 | |
| Cybersecurity License (Enterprise) SP-A07 · Software Subscriptions | 28 | 4 | 8,124 → 14,887 | 83.2% | 9,778 | 8,721,096 | 1,598,304 | |
| Promotional Merchandise (Bulk) SP-A08 · Marketing & Events | 26 | 2 | 5,398 → 11,793 | 118.5% | 7,081 | 6,761,437 | 1,480,816 |
Unit prices are per-line averages; the target is the lower quartile paid across the portfolio, not the lowest single line.
Phase 6 · Spend intelligence · Stage 15/16Snapshot
Localization radar
Every riyal leaving the Kingdom is tested against the Challenge 1 high-demand categories: can Saudi suppliers serve this today, does the demand justify building capacity, or is there honestly no local answer yet? The first two verdicts become supplier packages; the third becomes sourcing strategy.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Foreign spend on the radar
SAR 15.35M
10.2% of the portfolio · 12 categories assessed
Localizable now
SAR 0
3 categories · already sourced in-Kingdom
Build-case candidate
SAR 924,806
2 categories
Not localizable yet
SAR 14.42M
7 categories
Localizable now
3 categories · SAR 0 foreign spendSaudi suppliers already serve this category. The foreign share is a sourcing decision, not a capability gap.
1
Fleet Maintenance Localizable now
Matched Challenge 1 category: Industrial Lubricants & Fluids
Foreign spendSAR 0
Share of the category0.0%
Category spendSAR 3.65M
Exposed companies0
All SAR 3,647,639 across 100 lines is already with in-Kingdom vendors · Challenge 1 covers this as Industrial Lubricants & Fluids · only the oil-change lines fall inside Challenge 1 — tyres and brake pads do not · Challenge 1 calls these petrochemical products, which is the feedstock the Kingdom already refines — blending and packaging capacity exists today
No foreign spend to hand over · already sourced in-Kingdom
2
Factory Operations Localizable now
Matched Challenge 1 category: Industrial Lubricants & Fluids
Foreign spendSAR 0
Share of the category0.0%
Category spendSAR 2.84M
Exposed companies0
All SAR 2,840,341 across 98 lines is already with in-Kingdom vendors · Challenge 1 covers this as Industrial Lubricants & Fluids · Challenge 1 calls these petrochemical products, which is the feedstock the Kingdom already refines — blending and packaging capacity exists today
No foreign spend to hand over · already sourced in-Kingdom
2 of 3 categories shown
Build-case candidate
2 categories · SAR 924,806 foreign spendDemand is large and repeating, but capability is partial. These are the categories worth an industrial-development case.
1
Employee Safety Build-case candidate
Matched Challenge 1 category: Heavy-Duty PPE & Occupational Safety
Foreign spendSAR 924,806
Share of the category68.4%
Category spendSAR 1.35M
Exposed companies30
Saudi Bahraini Investment CompanyDesert Resorts Development CompanySaudi Global Ports Company (Singapore)Roshn Group Company+26 more
SAR 924,806 of SAR 1,351,159 (68.4%) leaves the Kingdom · Challenge 1 covers this as Heavy-Duty PPE & Occupational Safety · 30 companies exposed · Challenge 1 calls this gear strictly regulated — EN and ANSI certification, not manufacturing, is the gate a domestic supplier has to clear
2
Facilities Maintenance Build-case candidate
Matched Challenge 1 category: Fluid Handling & Filtration
Foreign spendSAR 0
Share of the category0.0%
Category spendSAR 5.62M
Exposed companies0
All SAR 5,620,419 across 105 lines is already with in-Kingdom vendors · Challenge 1 covers this as Fluid Handling & Filtration · only the HVAC filter lines fall inside Challenge 1 — painting, plumbing and electrical work are on-site labour · Hoses, filters and seals are engineered to equipment specifications, so each part qualifies against the machine it serves
No foreign spend to hand over · already sourced in-Kingdom
Not localizable yet
7 categories · SAR 14.42M foreign spendNo credible local supply exists today. Saying so is part of the answer: these route to sourcing strategy, not to MUSAHAMA.
1
Software Subscriptions Not localizable yet
No Challenge 1 high-demand category matches this spend.
Foreign spendSAR 14.42M
Share of the category66.2%
Category spendSAR 21.79M
Exposed companies44
Badael CompanyRua Al Haram Al Makki CompanyRiyad BankSaudi Entertainment Ventures+40 more
SAR 14,423,561 of SAR 21,787,798 (66.2%) leaves the Kingdom · no Challenge 1 MRO category covers Software Subscriptions · 44 companies exposed · a foreign SaaS licence has no domestic manufacturing substitute — the lever here is consolidating the licence estate into one negotiation, not a supplier programme
Routed to sourcing strategy instead
2
Advertising Not localizable yet
No Challenge 1 high-demand category matches this spend.
Foreign spendSAR 0
Share of the category0.0%
Category spendSAR 47.99M
Exposed companies0
All SAR 47,989,417 across 74 lines is already with in-Kingdom vendors · no Challenge 1 MRO category covers Advertising
Routed to sourcing strategy instead
2 of 7 categories shown
Each package is logged to the audit trail Open the audit trail ›Categories with no foreign spend are already sourced in-Kingdom and have no package to publish.
7 high-demand MRO categories, verbatim from the Challenge 1 workbook
7 high-demand MRO categories, verbatim from the Challenge 1 workbook
| Challenge 1 category | What it covers |
|---|---|
| Industrial Lubricants & Fluids | Essential petrochemical products used for machinery upkeep, friction prevention, and temperature regulation in heavy equipment. Common items include hydraulic oil, compressor and gear oil, general-purpose and high-temperature greases, anti-seize compounds, and coolants. |
| Heavy-Duty PPE & Occupational Safety | Strictly regulated wearable safety gear designed to protect workers from specific industrial hazards, impacts, and exposures. This includes heavy-duty leather or Kevlar work gloves, chemical-resistant PVC gloves, steel-toe boots, hard hats, and high-visibility flame-retardant coveralls. |
| Fasteners & Basic Hardware | Standard mechanical components, anchors, and threaded hardware used for securely joining structural steel and machinery assemblies. Key products include hex bolts, nuts, washers, concrete drop-in anchors, threaded rods, hose clamps, and U-bolts. |
| Abrasives & Tool Consumables | Wear-and-tear accessories attached to power tools for cutting, grinding, polishing, and surface finishing. These consist of angle grinder cutting discs, flap discs, sanding belts, various drill bits, saw blades, wire brushes, and heavy-duty scrapers. |
| Welding & Fabrication Supplies | Critical consumables and masking materials used for joining metal structures and protecting surfaces during fabrication. Examples include welding electrodes and MIG wire, industrial masking tape, marking paint, heavy-duty duct tape, and Teflon pipe thread tape. |
| Fluid Handling & Filtration | Components required for safely transporting high-pressure materials and filtering contaminants out of air and fluid systems. This covers industrial air and hydraulic hoses, HVAC filters, fluid filters, rubber or silicone gaskets and O-rings, and industrial adhesives. |
| Packaging & Material Handling | Protective materials and securing bands used to prepare heavy manufactured goods for safe transit and distribution. Common items are pallet stretch wrap, corrugated shipping boxes, strapping bands, wooden pallets, and nylon lifting slings or ratcheting straps. |
Phase 6 · Spend intelligence · Stage 16/16Snapshot
Spend forecast and anomalies
The last stage of the food journey is monitoring; the last stage of this one is the same discipline applied to money. Demand is projected per category from 44 months of purchase-order history, and the findings that do not fit — price spreads, foreign concentration, spikes, single-vendor dependence — are raised as warnings on the same lifecycle.
DataAI & analyticsRisk detectionEarly warningPredictionRecommended actionsStakeholder responseMonitoringOutcomes
Findings raised
24
across 8 expense categories
Largest single finding
SAR 25.5M
Advertising · Vendor concentration
Categories projected
12
from 44 months of purchase-order history
Fastest-growing category
+16.9%
Facilities Maintenance
Category demand projection
Solid = measured months · dashed over the tinted band = projectedMeasuredProjectedForecast horizon
Mean monthly spendSAR 1.1M
Change vs. the trailing 12 months+9.8%
Projected over the horizonSAR 6.4M
Horizon6 months
Click a category above to chart it
| Expense category | Mean monthly spend | Change vs. trailing 12 months | Projected over the horizon |
|---|---|---|---|
| Advertising | 1,090,669 | +9.8% | 6,354,823 |
| Marketing & Events | 854,699 | +3.1% | 5,077,215 |
| Software Subscriptions | 495,177 | -12.5% | 3,118,978 |
| IT Hardware | 215,787 | -6.8% | 1,326,990 |
| Travel & Logistics | 215,238 | -8.7% | 1,333,906 |
| Cloud Infrastructure | 214,638 | -14.4% | 1,364,318 |
| Facilities Maintenance | 127,737 | +16.9% | 731,205 |
| Fleet Maintenance | 82,901 | +11.4% | 481,044 |
| Factory Operations | 64,553 | -11.1% | 404,154 |
| Employee Safety | 30,708 | -10.9% | 192,074 |
| Warehouse Supplies | 30,598 | -23.1% | 204,038 |
| Store Consumables | 8,598 | +11.6% | 49,864 |
Spend warnings
CriticalSAR 22.6M
EventPro Arabia holds 60.1% of Marketing & Events spend
CriticalSAR 14.4M
66.2% of Software Subscriptions spend leaves the Kingdom
CriticalSAR 5.1M
Conference Booth Rental - 3 Days spans a 93.1% price spread across 29 buying companies
CriticalSAR 3.6M
Highway Billboard - 30 Days spans an 81.5% price spread across 20 buying companies
4 of 24 findings shown
CriticalSP-1001 · Vendor concentration
EventPro Arabia holds 60.1% of Marketing & Events spend
- Expense category
- Marketing & Events
- Value at stake
- SAR 22,610,423
- Confidence
- High
- EventPro Arabia invoiced SAR 22,610,423 across 45 lines and 28 purchase orders
- That is 60.1% of Marketing & Events and 15.0% of all portfolio spend
- 27 portfolio companies depend on this vendor
Status
NewAcknowledgedValidatedAssignedResolved
Vendor concentrationRaised by the spend engine, not by a person
- Evidence
- Computed from the purchase-order lines themselves
How this was raised: the engine scans every purchase-order line for price dispersion, single-origin dependence, month-on-month spikes and vendor concentration, then keeps only the findings whose value clears the tier threshold. The triggers above are the arithmetic, not a summary of it.
National risk index
43