Alloy.ai Technical Overview

Architecture

Alloy.ai is a cloud-based, demand and inventory control tower for consumer goods companies. More than 30,000 engineering hours have been invested in developing the Alloy.ai Data Platform. Consumer goods-specific metrics and business logic are layered on top, allowing users to make better and faster supply chain and planning decisions.

 

Integration


Alloy.ai has 850+ pre-built connectors to automate data collection across the supply chain, regardless of format (flat file, API, EDI, Excel spreadsheet). These data integrations are set up during implementation and then automatically updated on a predetermined cadence.

This table shows the types of connectors that already exist in the platform. Custom connectors can be built as needed. Not all data elements are required, but as many as possible are encouraged to enable the full suite of use cases. We will advise which data elements are essential and which are optional based on the capabilities desired.

Data Elements

Internal: Customer Orders and Shipments Transactions (“Sell-in”)Internal: Customer Orders and Shipments Transactions (“Sell-in”)
Internal: Product MasterInternal: Brand Forecast/Plan
Alloy.ai: Retail CalendarsInternal: Calendar
External: Partner Data PortalExternal: Partner EDI
External: Partner Flat Files (Excel, etc.)Internal: ERP Inventory
Internal: ERP Purchase/Production Orders [Transactional]Internal: ERP Internal Transfers [Transactional]
External: 3PL Integration (Inv, SO, PO)External: Supplier Integration (Inv, SO, PO)
Planning Parameters (Lead Times, Inventory Targets, MOQs, etc.)Flat Files (Excel, etc.)

Modeling


Harmonize the various data types to create a unified representation of your end-to-end supply chain.

 

Metrics


Alloy.ai provides out-of-the-box metrics critical for every consumer goods company to effectively manage their inventory relative to fluctuating demand. Drawing from the expertise of our customers, Alloy.ai continually introduces additional industry best practice metrics as part of its SaaS subscription. Below is a sample list of metrics Alloy.ai routinely provides users.

Sample Metrics

CategorySell-InInventorySell-Through
Partner DataRetail OrdersRetail InventorySales
Partner DataRetail ShipmentsRetail Inventory TargetSales Target
Partner DataRetail ReceiptsRetail Weeks of SupplyForecasts and Plans
Partner DataBrand Forecasts/PlansRetail Weeks of Supply Target
Partner DataRetail Out-of-Stock
Partner DataRetail In-Stock
ERP DataBrand Forecasts/PlansBrand Inventory
ERP DataSales Order-Line Item3PL/Distributor Inventory
ERP DataInternal TransfersSupplier Inventory
Derived DataRetail Phantom InventoryUnconstrained Demand
Derived DataSimulated InventoryLost Sales
Derived DataSimulated Weeks of SupplyOOS %

Features


Built on top of the Alloy.ai Data Platform are business logic and features that enable Alloy.ai users across departments to analyze, forecast, plan and make decisions, all operating off a unified source of information for easier cross-functional alignment and collaboration.

ApplicationFeatures
DataData Source Status
DataExport
DataImport
DataLocation Master Management
DataProduct Master Management
DataShipping Lane Management
DataUnit Conversion
DataEvent Management
IntelligenceLift Impact Analysis
IntelligenceRetail Forecast Versioning
IntelligenceCustomized Product Attributes
IntelligenceDashboard Linking
IntelligenceDashboards
IntelligenceAttribute Filters
IntelligenceMetric Filters
IntelligenceIndustry-Best Practice Metrics
IntelligenceNetwork Aware Attributes
IntelligenceWidgets
IntelligencePOS Forecasting
OrdersOrder Status Tracking
OrdersOrder-Line Item Visibility
SettingsAlerts
SettingsGlobal Search
SettingsPermissions
SettingsSubscriptions