Accelerators
›Purpose-built LLM systems, multi-agent reasoning workflows, and domain-adapted models.
Universal semantic metric layers, natural language querying, and executive intelligence.
Mathematical constraint solvers (MILP, CP-SAT) for scheduling, allocation, and routing.
Pragmatic ERP modernisation, event-driven API mesh, and custom operational applications.
The Supply Chain AI Prompt Library
55 copy-paste prompts for planners, buyers and OR analysts. Use them with Claude, ChatGPT or Gemini.
CASE STUDIES
AI and Data Analytics Case Studies
AI and Data Analytics Case Studies
Not proof-of-concepts. Production systems that are running right now.
Production systems running right now — not proof-of-concepts.


AI SKU Recommender for a Snacks FMCG Maker
15%
Increase in distributor SKU penetration

Unified Executive Reporting for an F&B Group
60%
Reduction in manual reporting effort

Real-Time Order Routing for Electronics
21%
Increase in network-wide factory utilisation

Parcel Rate Intelligence for US Logistics
25%
Average shipping cost reduction delivered to client accounts

AI Marketplace for a Container Supplier

AI Support Agent for an E-commerce Platform
38%
Support ticket deflection rate achieved

AI Research for a Securities Litigation Firm
55%
Reduction in precedent research time

Coal Invoicing Dashboard for a Power Company
72%
Reduction in invoice processing / reconciliation time
FAQ
Straight answers to the questions that matter.
If it is not here, just ask.
Can't find your answer?



Book a call with the team
→
Email us at hello@sevenbillion.co
How long does a typical engagement take?
Can your systems integrate with our existing infrastructure?
What does Phase 0 cost?
How do you measure ROI?
Do we need clean data before starting?
Will our internal team be involved?
How is our data kept secure?
What happens after deployment?
GOT QUESTIONS?
Straight answers to the questions that matter.
If it is not here, just ask.
Can't find your answer?



Book a call with the team
→
Email us at hello@sevenbillion.co
How long does a typical engagement take?
Can your systems integrate with our existing infrastructure?
What does Phase 0 cost?
How do you measure ROI?
Do we need clean data before starting?
Will our internal team be involved?
How is our data kept secure?
What happens after deployment?
GOT QUESTIONS?
Questions we hear often.
If it is not here, just ask.
Can't find your answer?



Book a call with the team
→
Email us at hello@sevenbillion.co
How long does a typical engagement take?
Can your systems integrate with our existing infrastructure?
What does Phase 0 cost?
How do you measure ROI?
Do we need clean data before starting?
Will our internal team be involved?
How is our data kept secure?
What happens after deployment?
The lowest-risk way to find out if AI is right for your business.
Phase 0 is a two-week discovery that tells you exactly which problems AI can solve, what it will take to build, and what it will cost. No obligation beyond it.
ABOUT Seven Billion
Seven Billion is an Applied AI company — a team of data scientists and AI engineers who build and deploy AI systems that run in production.
OFFICE
World Tech 83, First Floor, IT City, Mohali 140603





The lowest-risk way to find out if AI is right for your business.
Whether you are mapping your first AI use case or scaling AI across the enterprise, we will help you cut through the noise and build something that actually ships.
ABOUT Seven Billion
Seven Billion is an Applied AI company — a team of data scientists and AI engineers who build and deploy AI systems that run in production.
OFFICE
World Tech 83, First Floor, IT City, Mohali 140603





Intelligence that delivers starts here.
Whether you are mapping your first AI use case or scaling AI across the enterprise, we will help you cut through the noise and build something that actually ships.
ABOUT Seven Billion
Seven Billion is an Applied AI company — a team of data scientists and AI engineers who build and deploy AI systems that run in production.
OFFICE
World Tech 83, First Floor, IT City, Mohali 140603





