Industries
Commerce, inventory and intelligent automation for retail
E-commerce, customer experience, inventory and intelligent automation.
Retail
Commerce, inventory and intelligent automation for retail
Retail margins are decided by inventory accuracy and by how much of the customer journey works without intervention. Both are integration and data problems more often than they are storefront problems.
What we hear in this sector
The problems that usually start the conversation
- 01
Stock position differing between channels and the warehouse
- 02
Customer experience breaking at the seam between online and store
- 03
Promotional and pricing changes requiring manual work across systems
- 04
Demand forecasting based on last year rather than current signal
How the technology fits together
Customer to fulfilment, one stock position
Problem
Customer
Digital experience across online and store
System
Commerce
E-commerce platform engineering and integration
System
Inventory
Unified inventory and order visibility across channels
Intelligence
Data
Personalisation and demand forecasting where the data supports it
Outcome
Fulfilment
Replenishment automation
Technology ecosystem
Retail systems, connected
An e-commerce platform integrated with the rest of the estate, unified inventory and order visibility across channels, personalisation and forecasting where the data supports it, and replenishment automated.
- Customer
- Commerce
- Inventory
- Fulfilment
What we build here
What Branta builds for retail
E-commerce platform engineering and integration
Unified inventory and order visibility across channels
Personalisation and recommendation where the data supports it
Demand forecasting and replenishment automation
Common starting points
Business problems we usually begin with
Improve my website
A site that looks acceptable but does not convert, rank or hold up under change.
ExploreIntegrate my systems
ERP, CRM and line-of-business systems holding different versions of the same truth.
ExploreAutomate my business
Repetitive work moving between people, spreadsheets and systems that were never connected.
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
EdTech
Converting over 8,000 subscribers with AI-driven prospect modelling
Outcome
8,000+ unpaid subscribers converted to paying customers
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.