Industries
AI-powered operations for manufacturers
AI, automation, ERP integration, production analytics and smart operations.
Manufacturing
AI-powered operations for manufacturers
Manufacturing runs on data that is generated on the shop floor and consumed in systems that were never designed to talk to each other. The gap between the two is where the delay, the rework and the disputed numbers live.
What we hear in this sector
The problems that usually start the conversation
- 01
Production reporting assembled manually, arriving after the decision window
- 02
ERP and shop-floor systems holding different views of the same order
- 03
Maintenance carried out on a calendar rather than on condition
- 04
Inventory accuracy that nobody fully trusts
How the technology fits together
Shop floor to operations, one view of the order
Problem
Connected factory
Shop-floor systems and ERP
System
Machines
Production and maintenance data at source
System
Data
Real-time production dashboards
Intelligence
Intelligence
Predictive analytics for maintenance and quality
Outcome
Operations
Inventory, replenishment and document automation
Technology ecosystem
Manufacturing systems, connected
Production data drawn from operational systems, ERP integrated across planning, inventory and finance, predictive analytics for maintenance and quality, and automation for replenishment and supplier paperwork.
- Machines
- IoT data
- Intelligence
- Operations
What we build here
What Branta builds for manufacturing
Real-time production dashboards drawn from operational systems
ERP integration across planning, inventory and finance
Predictive analytics for maintenance and quality
Inventory and replenishment automation
Document automation for purchase orders and supplier paperwork
Common starting points
Business problems we usually begin with
Automate my business
Repetitive work moving between people, spreadsheets and systems that were never connected.
ExploreImprove business reporting
Reporting that arrives too late, costs too much to produce, or gets challenged in the meeting.
ExploreIntegrate my systems
ERP, CRM and line-of-business systems holding different versions of the same truth.
Explore
Client results
Proof from the field
Beverage
Cutting cooler repair time by 70% with IoT and machine learning
Outcome
70% reduction in cooler repair turnaround
Pharmaceutical manufacturing
Enterprise security operations for a pharmaceutical manufacturer in under 12 weeks
Outcome
< 12 weeks to a steady operational state
Beverage
Segregating infrastructure for a beverage spin-off across three countries
Outcome
3 countries
Talk to us
Tell us what you are trying to achieve and we will help you identify the right technology path.