Production-ready supply chain accelerators with built-in AI coworkers 

Syren combines supply chain consulting and predictive analytics to deliver 3X faster, smarter, and explainable decisions.

190 +

Supply Chain & Data Experts

40 +

ML-Enabled Use Cases Delivered

0 +

Countries across NA, LATAM, APAC

3 +

Pre-Built Accelerators

Syren's Approach to Supply Chain Solutions

Fit existing stack

Deploy in weeks

Scale business

Syren’s Supply Chain Accelerator Suite

Our accelerators span the full supply chain lifecycle:
what to plan, buy, move, pay, and track.

Demand Forecasting

Predict demand across stores, channels, and markets using sales, seasonality, and promotional signals.

Inventory Management

Segment stock by movement and flag slow-moving inventory before it ties up working capital.

Spend Visibility & Maverick Spend

Consolidate spend data across categories and vendors to surface off-contract buying.

RFQ & PO Automation

Automate RFQ generation and purchase order creation from approved demand, cutting cycle time from days to hours.

Supply Chain Resilience

Simulate risk across supply, demand, capacity, and logistics nodes, testing mitigation options ahead of disruption.

Value Chain Maps

A dependency-level view of suppliers, sites, materials, and transport routes across the full supply chain network.

Supplier Risk Scoring

Score suppliers on financial health, delivery performance, and geographic exposure to flag risk before production is disrupted.

Supplier Performance & ESG Scorecards

Track OTIF delivery, quality, and ESG metrics per supplier in one scorecard, replacing manual quarterly reviews entirely.

Freight & Port Optimization

Reduce demurrage and detention costs by optimizing port scheduling and inbound freight routing against carrier and terminal data.

Track & Trace

Real-time IoT-based tracking of location, movement, and status for high-value assets.

On-Time In-Full (OTIF)

Track orders across 30+ fulfillment checkpoints to flag delays in real time.

Available to Promise (ATP)

Calculate accurate delivery dates from real-time demand, inventory, production, and shipping data.

Invoice Matching Engine

Run automated 3-way matching across PO, receipt, and invoice data to catch duplicates or mismatches.

Automated Invoice Extraction

Extract line-item data from invoices in any format and route exceptions for review, cutting manual entry out of the AP workflow.

Contract Lifecycle Management

Centralize contract creation, approval, and renewal tracking, so no misses on obligations and expiry dates.

Clause Deviation Detection

Flag clauses that deviate from approved templates or negotiated terms, so legal and procurement catch risk before signing.

Dynamic Discounting & Working Capital

Match early-payment discount offers real-time cash position, freeing up working capital without any extra manual guesswork.

Payment Fraud Detection

Flag anomalous payment patterns and vendor banking changes in real time to catch fraud before funds move.

Cost to Serve

Unify order, labor, transportation, and logistics cost data into one view to expose margin leaks.

Carbon Footprint

GLEC-compliant emissions tracking across transportation using shipment, route, fuel, and vehicle data.

Trade & Regulatory Compliance

Screen transactions against trade sanctions lists and tracks GST and other regulatory filings against shipment and invoice data.

Supply Chain AI Coworkers

Role-specific AI coworkers to fit how each team already makes decisions.

Supply Chain Leaders

Planning COE

Logistics & Networks

Procurement & Inventory

Success stories

Industries we serve

Multi-echelon inventory optimization in pharma industry

Pharma & HLS

Application of data science in optimized just-in-time inventory and dynamic pricing in retail industry

Retail & CPG

Data science applications in industrial engineering for predictive maintenance

BFSI

Data science capabilities in demand forecasting and agile inventory management in CPG Industry

Manufacturing

Application of data science for optimized network and retail inventory in telecom industry

Media & Telecom

Transform your supply chain with Agentic AI accelerators

FAQS

Questions teams ask before they start

Most pre-built accelerators deploy in weeks, since the data models, logic, and dashboards ship ready to configure against your existing systems.
Yes, accelerators built for enterprise use integrate directly with existing ERP, WMS, and TMS platforms, pulling from your current data sources from day one.
Risk management typically starts with identifying specific points of exposure, a supplier, a lane, a facility, while resilience planning takes a broader view, modeling how the network responds when any one of those points fails. Most teams start with risk visibility, then expand into resilience modeling once the data foundation is in place.
At minimum, centralized order, inventory, and logistics data from existing systems — ERP, WMS, and TMS. Fragmented or siloed data across these systems is the most common blocker teams run into before visibility initiatives can start.
Shipment-level data: mode of transport, distance, weight, and frequency — pulled from existing logistics and order systems, structured against a standard like GLEC so emissions calculations are audit-ready from day one.
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