Brand 360
A telecom market-intelligence platform that collects competitors' plans, devices and prices from their websites, scores app-store reviews for sentiment, and answers questions in a chat with tables and sources.
- Competitor intelligence
- Text-to-SQL
- App review sentiment
- Live web search
01
Overview
Brand360 watches telecom brands across their websites and mobile apps. A scraper walks each brand's site and turns plans, devices, add-ons, roaming offers, support articles and blog posts into structured records, keeping a history so analysts can review what changed between runs.
- Category
- Market intelligence
- Industries
- Telecom · Contact centres
02 · Business value
What it changes for the business
Brand 360
Pricing and marketing teams see competitor moves sooner and answer market questions without waiting for an analyst.
- 01
Faster response to competitors
Changed offers are flagged after each run, so teams can react to new plans and prices sooner.
- 02
Analyst time freed up
Plain-language questions return tables directly, without a data request to an analyst.
- 03
Customer insight from reviews
Sentiment by attribute shows where each brand's app pleases or frustrates customers.
- 04
Answers you can check
Replies show the SQL queries and web sources behind them, which lowers the risk of acting on a wrong price.
03 · The Problem → The Outcome
Challenges → Solutions
- 01
Challenges: Competitors change plans, prices and devices often, and tracking them by hand is slow
Solutions: Scraping runs collect each brand's offers and flag changed, new and removed pages for review
- 02
Challenges: Offer details sit on many web pages, in different formats and languages
Solutions: Extraction turns pages into structured tables for plans, devices, add-ons, roaming and support content
- 03
Challenges: What customers think of each app is buried in thousands of store reviews
Solutions: Reviews from both app stores are classified for sentiment against attributes set per category
- 04
Challenges: Analysts need data skills to answer even simple market questions
Solutions: Anyone can ask in plain language; the assistant writes the SQL and returns tables
- 05
Challenges: Answers about prices must be accurate, not guessed by a model
Solutions: Answers come from the collected data or a restricted web search, with queries and sources shown, and the model is told not to invent prices
04 · Use cases
Where it fits, by industry
Telecom
Purpose-built AI solutions for telecommunications providers.
- 01
Competitor offer tracking
Pricing and product teams compare rival plans, devices and roaming offers, and review what changed since the last run.
- 02
App experience benchmarking
Digital teams compare app-store sentiment across brands and categories to decide what to fix in their own app.
- 03
Executive market questions
Executives ask quick questions about the market in chat and get tables with the sources behind them.
Contact centres
AI that reviews every conversation and helps contact-centre teams act on it.
- 01
Current content for a care bot
Content collected from the brand's own site, per language, feeds a customer care bot so its answers follow the current offers.
05
Enterprise Capabilities
Intended Users
Pricing, product and marketing teams at a telecom operator, and executives who want quick answers about the market.
Brand 360
Market intelligence
- 01Website scraping and structured extraction
- 02Change review across runs
- 03App Store and Play Store review sentiment
- 04Chat with text-to-SQL and semantic search
- 05Restricted web search fallback
- 06Brand-scoped roles and model management
06 · Highlights
Key Proof Point
Brand 360
First runner-up at Techne Summit 2025, Brand360 answers competitor questions from data it collected itself and will not invent prices when that data is missing.
Technical workshop
Ready for a Technical Workshop?
Walk through sovereign architecture, deployment options, security controls, and enterprise use cases with our platform team — tailored to your industry and infrastructure.
- Data sovereignty
- On-prem deployment
- Arabic-first AI