Knowledge base

AI & Automation Glossary

Plain-English definitions of the terms we use across our work in AI automation, data, marketing and digital commerce — written to be understood, not to impress.

AI & Automation

AI automation: The use of software — often combining machine learning or large language models with workflow tools — to run work that previously needed a person, reliably and at scale. Unlike rules-only automation, it can interpret unstructured input and handle exceptions. See our AI automation services.
Artificial intelligence (AI): Software systems that perform tasks associated with human intelligence, such as understanding language, recognizing patterns, making predictions and generating content.
Machine learning (ML): A branch of AI in which models learn patterns from data instead of being explicitly programmed, improving at tasks like prediction and classification as they see more examples.
Large language model (LLM): An AI model trained on very large volumes of text that can understand and generate natural language — the technology behind assistants like ChatGPT, Gemini and Claude.
Generative AI: AI that creates new content — text, images, code or audio — rather than only classifying or predicting from existing data.
Robotic process automation (RPA): Software robots that mimic human clicks and keystrokes to automate repetitive, rules-based tasks in existing applications. RPA follows fixed rules; it does not reason about unstructured input the way AI automation can.
Workflow automation: Connecting the steps of a business process — triggers, actions, approvals, notifications — so the process runs automatically instead of by hand.
AI agent: An AI system that can plan and take multi-step actions toward a goal — such as reading a request, looking up data in other systems and completing a task — rather than only answering a single prompt.
Chatbot / AI assistant: A conversational interface that answers questions or performs tasks over chat. Modern AI assistants use LLMs to understand free-form language rather than scripted keywords.
Computer vision: AI that interprets images and video — used for tasks like quality inspection on production lines, document reading and object tracking in logistics.
Predictive analytics: Using historical data and statistical or ML models to forecast future outcomes, such as demand, churn, or equipment failure.
RAG (retrieval-augmented generation): A technique that lets an LLM look up relevant information from your own documents or databases before answering, so responses are grounded in your data instead of only the model’s training.

Data & Integration

Data silo: A system whose data cannot easily be accessed by the rest of your software stack, forcing manual exports and creating conflicting versions of the truth. See our data integration services.
Data integration: Connecting the systems a business runs on — CRM, ERP, marketing platforms, custom apps — so data flows between them automatically and consistently.
API (application programming interface): A defined way for two software systems to exchange data and trigger actions in each other — the building block of most integrations.
ETL (extract, transform, load): The process of pulling data out of source systems, cleaning and reshaping it, and loading it into a destination such as a data warehouse.
Single source of truth: The one agreed system where each piece of business data lives authoritatively, so teams stop debating whose numbers are right.
CRM (customer relationship management): Software that stores customer and prospect records and interactions — the system of record for sales and customer relationships.
ERP (enterprise resource planning): Software that runs core business operations such as finance, inventory, purchasing and production in one system.

Marketing & Growth

Marketing automation: Workflows that handle repetitive marketing work automatically — lead nurture sequences, scoring, segmentation and lifecycle campaigns — so the right message reaches the right person at the right time. See our marketing automation services.
Lead nurture: Automated sequences of relevant messages that educate and warm up prospects between first interest and readiness to buy.
Lead scoring: Ranking leads by fit and behavior so sales teams prioritize the prospects most likely to convert.
SEO (search engine optimization): Improving a website’s content, structure and authority so it ranks higher in organic search results and earns traffic without per-click cost. See our digital marketing services.
AEO / GEO (answer engine optimization): Optimizing content and structured data so AI answer engines — Google AI Overviews, ChatGPT, Gemini, Perplexity, Copilot — cite your brand when answering user questions. Also called generative engine optimization.
PPC (pay-per-click): Paid advertising, such as Google or Meta ads, where you pay for each click. Fast to start, but traffic stops when spend stops.
CRO (conversion rate optimization): Systematically improving pages, forms and offers so a higher share of visitors become leads or customers — raising the return on all traffic sources at once.
ROAS (return on ad spend): Revenue generated per unit of advertising spend — the core efficiency metric for paid campaigns.
UTM parameters: Tags added to URLs (utm_source, utm_medium, utm_campaign) that tell analytics tools exactly which channel and campaign each visitor came from.
Structured data / schema markup: Machine-readable markup (schema.org JSON-LD) added to web pages that describes their entities — organization, services, FAQs, articles — to search engines and AI systems.

E-Commerce & Operations

E-commerce management: Running online sales channels as a professional operation — listings, advertising, pricing, inventory, and account health across marketplaces and D2C stores. See our e-commerce management services.
Marketplace: A third-party platform such as Amazon, Flipkart or Meesho where many sellers list products and the platform controls search, ranking and fulfilment rules.
D2C (direct-to-consumer): Selling to end customers through your own storefront and channels rather than through retailers or marketplaces.
ACOS (advertising cost of sale): Marketplace ad spend divided by the sales it generates — the profitability yardstick for marketplace advertising.
Buy Box: The default "Add to Cart" position on a marketplace product page. Winning it depends on price, availability, delivery speed and account health.
Quick commerce: Ultra-fast delivery platforms (typically 10–30 minutes) that have become a major sales channel for consumer brands in India.
SaaS (software as a service): Software delivered as a subscription over the internet rather than installed and licensed — the dominant model for modern business applications. See our product engineering.
Digital transformation: Rebuilding how a business operates around connected data, modern software and automation — not just adopting individual tools.

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