Documentary Fulfillment Evolution · 00:20
The Warehouse. Reimagined by AI.
Experience the future of warehousing and logistics with Infosys and SAP BTP.
Real-time agentic AI and autonomous mobile robotics.
A Century of Evolution
From Labour to Machine Intelligence.
1920s – 1950s
Manual era. Paper ledgers, physical labour for all movement.
1960s – 1980s
Mechanisation. Conveyors, pallet racking, forklift fleets.
1990s – 2000s
Digital foundation. Barcodes, WMS platforms, ERP integration.
2010s
First robotics. AGVs, RFID, e-commerce scale.
2026 and beyond
Agentic AI era. Autonomous orchestration. Real-time exception resolution.
The Challenge
Intelligent Operations. Connected Systems. Measurable Outcomes.
Infosys combines deep SAP BTP expertise with a proprietary agentic AI framework — delivering autonomous warehouse orchestration that connects ERP, WMS, and robot operations.
SAP BTP
The foundation for extensibility, integration, and AI-driven innovation across SAP landscapes.
Agentic AI
Multi-agent orchestration for real-time exception resolution.
AMR Robotics
120+ autonomous mobile robots deployed at scale.
SAP S/4HANA
Full ERP integration — inventory, OTC, demand signals.
Real-Time Data
Live telemetry and decision intelligence across all sites.
The Operation Behind Every Order
Straight Drive Apparel Co. supplies premium golf apparel to 233 stores across the US and Europe.
As a Tier-1 Partner, Worldwide Golf accounts for 38% of Straight Drive Apparel Co. total revenue, $2.4B in annual sales. The Dallas DC runs across 480K sq ft, processing 18,234 units every day using a fleet of 120 AMR robots operating in Goods-to-Person mode. Every order that leaves has to arrive on time. Missing the 96% OTIF target means financial penalties.
What's at stake
96%OTIF requirement or penalty applies
$2.4BWorldwide Golf annual revenue at stake
233Store locations across US and Europe
Technology and tools
Global Distribution Network
12 DCs · 4 Continents · 1 Autonomous DC
Dallas TX ★
Houston
Los Angeles
New York
Atlanta
London
Munich
Chicago
Distribution Centre Overview
| Location | Type | Sq Ft | AMRs | WMS | Status |
|---|---|---|---|---|---|
| Dallas TX ★ | Autonomous DC | 480,000 | 120 | SAP BTP | Live |
| Houston TX | Standard DC | 220,000 | — | SAP BTP | Active |
| Chicago IL | Standard DC | 185,000 | — | SAP BTP | Active |
| Atlanta GA | Regional DC | 150,000 | — | SAP BTP | Active |
| London UK | EU Hub | 95,000 | — | SAP BTP | Active |
| All 12 DCs | Global Network | 2.1M | 120+ | SAP BTP | Operational |
The Challenge
Before Transformation — The Real Cost.
Despite SAP BTP and robotics, manual exception handling was consuming supervisor capacity and threatening the Worldwide Golf OTIF commitment.
Challenge 1
45–90 min per exception
Manual triage and resolution consuming critical floor time with every bin-empty or miscount event.
Challenge 2
No real-time visibility
<10% of floor-level exceptions were reported. Real error rates 10× higher than dashboards showed.
Challenge 3
OTIF under threat
Worldwide Golf's 96% OTIF target at risk. Missed carrier cut-offs increasing 3× over 6 months.
Challenge 4
Supervisor bottleneck
3.2 hours per supervisor per day spent on manual exception planning instead of strategic oversight.
Chapter 01
The Cost of Manual Complexity.
Before transformation, Straight Drive Apparel Co. managed 12 global DCs with reactive processes, fragmented systems, and no unified intelligence connecting ERP, WMS, and robot operations.
Operational Pain Points
- Exception resolution taking 45–90 minutes — pick operations halted across the DC floor.
- Supervisors losing 3.2 hours daily to manual planning, triage, and exception attendance.
- No real-time inventory visibility or AI intelligence across 12 global DCs.
- 120 AMRs deployed but un — throughput capped at 65% of potential.
- ERP, WMS, and robot systems siloed with no automated exception escalation path.
Product Portfolio: What's Being Fulfilled
Golf T-ShirtsGolf ShortsGolf Caps BeltsGolf ShoesGolf Jackets
Supply Chain Requirements
Lead Time US2–3 days
Lead Time EU4–5 days
SKUs Managed12,400+ across 12 DCs
Order Volume8.2M units/year to Worldwide Golf
Target Accuracy99.8% required by customer
Pre-Transformation Operational State
45–90m
Exception Resolution
Target: <10 min
3.2 hrs
Supervisor Time/Day
Target: Automated
99.4%
Order Accuracy
Target: 99.8%
Zero
AI Agent Layer
Target: 3 agents
Tuesday, 14th October: Morning Shift
Meet Jordan Rivera, DC Operations Supervisor
Jordan runs floor operations at the Dallas distribution centre. Every shift means coordinating 120 AMR robots, resolving exceptions in real time, and making sure 18,000 units move without a hitch. With Infosys AI, he has the whole floor in view before the day even starts.
A Day in the Life
Jordan's Day —Before AI.
A typical shift involved constant firefighting. Manual triage, phone calls, and spreadsheets consumed hours that should have been spent on strategy.
Jordan's Day —Before AI 01 / 06
A Day in the Life
Jordan's Day —After AI.
A typical shift is now intelligentlyAI agents handle exceptions in real time, allowing focus on strategy, not firefighting.
Jordan's Day —After AI. 01 / 06
Chapter 02
Orchestrated. Automated. Connected.
SAP BTP becomes the intelligence layer — orchestrating 120 AMRs, managing wave cycles in real time, connecting every fulfillment signal across the Dallas TX DC.
Signal
Order Received
Orchestration
SAP BTP
AI Layer
3 AI Agents
Dispatch
AMR Fleet
Complete
Outbound
Key Capabilities
- Goods-to-person AMR fulfillment — robots bring inventory to pick stations.
- Real-time wave optimisation and dynamic re-sequencing by AI.
- Automated exception detection and agentic AI escalation & resolution.
- Cross-DC inventory balancing via SAP S/4HANA OTC across all 12 sites.
96%
OTIF
93%
Perfect Order
88%
Fill Rate
12%
Backorders
8.42h
Cycle Time
>96%
Robot Uptime
System Health EWM Queue ATP Status Backlog Detected Integration <195ms Robotics >96%
Chapter 03
Three Agents. ~8 Minutes.
SAP BTP becomes the intelligence layer — orchestrating 120 AMRs, managing wave cycles in real time, connecting every fulfillment signal across the Dallas TX DC.
AI Recommendation.
SAP BTP becomes the intelligence layer — orchestrating 120 AMRs, managing wave cycles in real time, connecting every fulfillment signal across the Dallas TX DC.
AI Recommendation.
SAP BTP becomes the intelligence layer — orchestrating 120 AMRs, managing wave cycles in real time, connecting every fulfillment signal across the Dallas TX DC.
Chapter 04
The North Star
Predictive Replenishment & Stockout Prevention
ML models analyse order velocity and lead times across all 12 DCs, triggering replenishment before bin-level stockouts occur.
94%
Stockout Reduction
-18%
Safety Stock Cost
Real-time
Bin Monitoring
Dynamic Wave Optimisation & Robot Scheduling
AI re-sequences picking waves in real time based on order priority, robot availability, and carrier cut-off times.
+32%
Throughput Gain
-24%
Robot Travel Time
100%
On-Time Cuts
Cross-DC Inventory Balancing & Transfer Optimisation
AI monitors stock across all 12 DCs and auto-generates Stock Transport Orders to rebalance supply against regional demand.
12 DCs
Monitored Live
-21%
Excess Inventory
Auto-STO
S/4HANA Transfer
Supplier Planner
Persona: Demand Supply Planner
Continuously monitor stock positions, days-of-supply, and projected shortages. Reactively fine-tune planning settings based on past shortages or service issues.
Procurement Planner
Persona: Buyer Procurement Planner
Monitor supplier lead times, delivery confirmations, and delays. Manually balance cost, service impact, and urgency without simulated outcomes.
Network Inventory Planner
Persona: Network Inventory Planner
Identify DCs holding slow-moving, obsolete, or aging inventory and coordinate with supply planners, buyers, and warehouse teams to align rebalancing decisions.
See the dashboard powering the warehouse.
Move to Monitor 02 and Turn around to see SAP Cloud ERP, SAP BTP Agentic AI in action, orchestrating autonomous mobile robots and resolving issues in real time
InfosysSAP S/4HANASAP BTPAutonomous RobotsAgentic AIMulti-DC Operations