• 6,000+ Stockists across India, each ordering on their own terms
• 10,000+ Sales team members with on-demand order visibility
• 250+ Stockist ERP formats parsed autonomously, without human intervention

The Organisation

A $2 billion pharmaceutical leader operating at global scale.

Dr. Reddy's Laboratories is one of India's most recognised pharmaceutical companies, with revenues exceeding USD 2 billion and a presence spanning multiple countries across Asia, Europe, and North America. Headquartered in Hyderabad, the company manufactures and markets a broad portfolio of generics, branded formulations, and active pharmaceutical ingredients.

• Pharmaceutical - India & Global
• USD 2 Bn+ Revenue
• 10,000+ Sales Representatives
• 6,000+ Stockists in India
• SAP S/4HANA ERP

The Challenge

An informal market. A fragmented order channel. A thousand formats.

Dr. Reddy's top leadership set an ambitious benchmark: process depot orders faster than a consumer orders groceries on a quick-commerce platform. The gap between that ambition and operational reality was significant.

The deeper problem was structural. The Indian pharmaceutical distribution market operates informally, and asking 6,000 stockists to change how they place orders simply was not a viable path.

Challenge 1
No order visibility for the field

With no real-time order status, 10,000+ sales representatives were spending valuable time calling depots manually to chase updates, time that could be directed toward growing the business.

Challenge 2
Orders arrived in every format imaginable

Stockists sent orders written directly in email bodies, as informal Word or Excel attachments, and as PDFs generated from their own ERP systems. With 250+ ERP vendors in the market, no two PDF layouts were alike.

Challenge 3
Product matching across unstandardised descriptions

Each stockist described products in their own shorthand. Mapping informal product names to the correct product IDs in Dr. Reddy's master catalogue was a critical, error-prone, and time-consuming step.

The Solution

A fully AI-native order processing engine, built to meet the market where it is.

Dr. Reddy's partnered with JAVIS to design and deploy an end-to-end autonomous order processing system. Rather than forcing the market to adapt, the technology was built to absorb the complexity, handling every format, every ERP, every informal description — without manual intervention.

The rollout began as a single-depot pilot before scaling across the network, validating both the AI model's accuracy and the depth of ERP integration at each stage.

Layer 1: JAVIS Vision AI

Intelligent Document Parsing
JAVIS Vision AI ingests incoming orders regardless of format, plain email text, Word attachments, Excel files, or PDF outputs from any of 250+ stockist ERP systems. Every order channel is captured without requiring the sender to change their behaviour.

Layer 2: AI Product Matching

Real-Time Catalogue Reconciliation
A two-step AI model first reads and extracts the order content, then performs real-time semantic matching of stockist product descriptions, however informal, against Dr. Reddy's standard product master. The correct product ID is resolved automatically, ready for ERP order creation.

Layer 3: Deep ERP Integration

Hands-Free Order Execution
A deep integration between JAVIS and SAP S/4HANA automates order creation end-to-end. Sales order numbers sync back to JAVIS in real time. Inventory and product availability pipelines, including differential phase-in and phase-out positions across depots, ensure only serviceable orders are raised.

Layer 4: GENIE Agentic Platform

Order Truth for the Sales Force
GENIE, JAVIS's agentic AI platform, delivers order visibility directly to the field. Sales representatives ask natural language questions and receive instant, territory-specific answers on order status, fill rates, and inventory positions, without a single call to a depot.

Layer 5: Inventory Intelligence

Availability-Aware Processing
Live inventory data pipelines from SAP S/4HANA feed JAVIS with accurate stock positions across every depot. The system validates availability before creating orders, accounting for complex product transitions, making the process not just fast, but reliable.

Architecture

Built for Scale, Not a Workaround
The solution was architected as a competitive capability, not a tactical fix. The JAVIS platform integrates with the SAP S/4HANA integration suite, ensuring enterprise-grade data integrity, security, and operational resilience as volumes grow.

"We wanted to process orders faster than a consumer orders groceries. JAVIS made that a reality ,without asking a single stockist to change how they do business."

-Senior Leadership - Dr. Reddy's Laboratories

The Impact

Speed, clarity, and a structural competitive edge.

• Zero Manual order entry steps for incoming stockist orders, regardless of format, ERP source, or product description style. A pharmaceutical distribution operation that was once reliant on manual intervention at every step now runs end-to-end on AI, from inbox to ERP, without a human in the loop.

• Real‑time Order truth delivered to 10,000+ sales representatives via natural language queries, on demand, by territory

• 100% Of stockist ERP formats and email-based order channels handled autonomously, preserving the informal workflows the market depends on

Platform & Products

Built on JAVIS

JAVIS Vision AI
Multi-format document intelligence that parses orders from any source, email body, Word, Excel, and PDFs from 250+ stockist ERP systems, without templates or pre-configuration.

AI Product Matching Engine
Semantic matching layer that resolves informal stockist product descriptions to the correct SKU in the product master catalogue in real time, eliminating the most error-prone step in the order workflow.

SAP S/4HANA Integration Suite
Deep bidirectional integration with Dr. Reddy's ERP, automating order creation, syncing sales order numbers, and streaming live inventory and product availability data back to JAVIS.

GENIE: Agentic AI Platform
Conversational AI interface that gives field sales teams on-demand, natural language access to real-time order status, fill rates, and territory-specific business intelligence, replacing depot calls entirely.