Frontier models are the engine. We build the vehicle.
Eight industries. One factory. Production agents tuned to the physics of your business — margin, availability, SLA, working capital — deployed on your stack, governed by design
Retail
Retail is a high-frequency war. Prices move hourly and promotions detonate without warning.Assortment gaps open and close with competitor moves. Quick commerce platforms arebenchmarking your dark store availability in real time. And behind all of it, ERP systems thatweren't built for this pace, siloed merchandising data, and reporting that arrives a week afterdecisions needed to be made.
A margin-and-availability control tower that senses the market, interprets your operations,and executes decisions with guardrails, all deployed on your stack.
What vdd.ai Builds for Retail
Pricing intelligence at internet speed: competitor price monitoring across web, apps,dark stores, and quick commerce platforms with margin-aware recommendationengine
Availability discipline: SKU-level replenishment intelligence that cuts stockouts andfrees working capital across all store formats and channels
Executive control: a governed semantic layer across POS, ERP, CRM, and e-commercethat gives leadership a single, trusted operational view
Promo optimization: signal-driven promotional planning that allocates budget to whereit moves revenue, not where it was always spent
Agent Deployments
Quiet Momentum
AI Pricing Copilot - competitive price monitoring, promo intelligence, dynamic bundling
AI Stock Copilot - replenishment, assortment optimization, working capitalmanagement
1,200+
Satisfied Businesses
Executive Data Infrastructure - unified POS/ERP/CRM truth for leadership
Automotive
Automotive operations are multi-entity by design: OEMs, regional distributors, dealernetworks, parts suppliers, service operations, and fleet managers; each running their ownsystems, each with their own truth. Parts’ availability drives service revenue and customerretention but fill rates suffer when inventory is misaligned to actual dealer demand.Distribution is complex, routing is manual, and the executive view is assembled fromspreadsheets.
What vdd.ai Builds for Automotive
Parts and service availability optimization: align parts inventory to demand at dealerand regional level, lift fill rates, cut dead stock and emergency shipping costs
Demand-to-inventory intelligence: forecasting by model, region, season, and dealer tierso the right parts are in the right network position
Distribution routing: carrier and fleet optimization for parts distribution, built on liveconstraints not planned assumptions
Executive semantic layer: a single governed truth across dealer, OEM, finance, service,and parts data powering KPI reporting that leadership can trust
Agent Deployments
Quiet Momentum
AI Stock Copilot - parts availability, dealer inventory optimization
AI Shipment & Routing Optimization Agent - parts distribution, fleet ops
1,200+
Satisfied Businesses
Executive Data Infrastructure - unified OEM-to-dealer operational truth
Hospitality
Hospitality runs on perishable inventory, volatile demand, and multi-property complexity. Aroom unsold tonight is gone forever, F&B purchasing over-ordered last week is marginwritten off this week, and across a portfolio of properties, leadership is working frominconsistent KPIs, property-level spreadsheets, and operational data that doesn't reconcilecleanly.
What vdd.ai Builds for Automotive
Demand-aware rate optimization: AI agent that monitors demand signals, occupancyforecasts, competitor rate moves, and event calendars to surface rate decisions withconfigurable guardrails and not just a revenue management tool, but a decisionsystem
F&B and consumables replenishment: SKU-level purchasing intelligence for food,beverage, amenities, and consumables resulting in reducing waste, improvingavailability, and aligning purchasing to actual demand
Cross-property executive control: a unified semantic layer across all properties,systems, and geographies giving leadership consistent KPIs, governance, and theability to compare performance across the portfolio
Agent Deployments
Quiet Momentum
AI Pricing Copilot - rate strategy, demand-aware offer optimization
AI Stock Copilot - F&B replenishment, amenities, consumables
1,200+
Satisfied Businesses
Executive Data Infrastructure - cross-property unified KPIs
Telco
Telco is systems-heavy: billing, CRM, network, retail, field ops, and BSS/OSS stacks oftensiloed, often legacy, often the product of multiple acquisitions with their own dataarchitectures. The executive view is assembled from exports, the field ops data isdisconnected from inventory, and AI initiatives stall because the data foundation isn't readyto support them.
What vdd.ai Builds for Automotive
Unified truth across billing, CRM, network, retail, and field ops
Inventory and field ops optimization: parts and equipment availability intelligencealigned to field scheduling, predictive maintenance signals, and network deploymentplans
Executive layer built for scale: governance, lineage, and speed
Agent Deployments
Quiet Momentum
Executive Data Infrastructure - billing/CRM/network/retail unified truth
AI Stock Copilot - equipment and spare parts availability
1,200+
Satisfied Businesses
AI Shipment & Routing Agent - field ops, technician routing
Real Estate
Real estate data is fragmented by design: property management systems, leasemanagement, capex tracking, tenant CRM, valuation models, and external market signals alllive in different places. Portfolio companies operate across geographies with inconsistentKPI definitions. And the early-warning signals that matter most like tenant risk, marketnarrative shifts, local demand dynamics are either not tracked or tracked manually.
What vdd.ai Builds for Automotive
Single semantic layer across leases, tenants, capex, operations, and valuation inputs
Early-warning signal system: tenant risk indicators, market narrative shifts, localdemand and regulatory dynamics surfaced from the open web and mapped toportfolio assets
Board-ready performance control: KPI consistency across portfolios and geographies,with lineage and audit trail for investor reporting
Agent Deployments
Quiet Momentum
Executive Data Infrastructure - full asset lifecycle semantic layer
Deep Social Graph Agent - market signals, tenant risk, narrative intelligence
Logistics & Supply Chain
Logistics is where constraints collide- SLAs, carrier capacity, hub throughput, last-milevariability, cost-to-serve pressure, and continuous disruption from weather, demand spikes,and network changes. Most routing systems optimize a plan, but the plan is obsolete themoment reality deviates. And cost-to-serve visibility across the full network is often absent,making it impossible to know where margin is being destroyed.
What vdd.ai Builds for Automotive
Dynamic route optimization under live constraints: real-time geospatial and predictiveintelligence that recomputes routing as traffic, capacity, and service window conditionschange• Cost-to-se
Cost-to-serve intelligence: full network visibility covering miles, load factors, carrierperformance, and delivery cost by lane, region, and customer segment
Network-level optimization: hub-to-hub flows, last-mile allocation, carrier mixoptimization, and SLA performance monitoring
Fulfillment inventory coupling: optionally link stock positioning to routing intelligenceso inventory availability and delivery capability are optimized together
Agent Deployments
Quiet Momentum
Executive Data Infrastructure - unified logistics operations truth
AI Stock Copilot - fulfillment inventory positioning (optional)
1,200+
Satisfied Businesses
AI Shipment & Routing Optimization Agent - dynamic routing, cost-to-serve intelligence