Industries · Retail, D2C & E-commerce
AI for Retail and E-commerce
Aaga builds AI agents and commerce software for online stores, D2C brands, marketplace sellers and multi-store retailers. We automate order and support conversations, product content and the back-office work between your store, warehouse and marketing tools.
- Answer 'where is my order', returns and sizing questions on WhatsApp, chat and phone
- Confirm COD orders and recover abandoned carts before they turn into RTO or lost sales
- Generate and enrich product listings for your store and marketplaces
- Connect Shopify, WooCommerce or your custom store to ERP, WMS and CRM
- Customer questions answered across channels
- 24/7
- One channel or workflow first
- Pilot
- Reply time on business days
- 1 day
Retail and E-commerce Challenges We Help Solve
Margins in commerce are won or lost in operations: support load, returns, catalog quality and stock in the right place.
Order-status tickets
A large share of support volume is 'where is my order', returns and exchange questions that follow the same few patterns.
RTO and returns
Unconfirmed cash-on-delivery orders, wrong sizes and failed deliveries turn into return-to-origin costs and reverse logistics.
Thin product content
Missing attributes, weak descriptions and inconsistent titles hurt search, filters and marketplace ranking.
Stock in the wrong place
Spreadsheet forecasting leads to stockouts on bestsellers and dead stock on slow movers across stores and warehouses.
Disconnected systems
Store, marketplace, ERP, WMS, courier and CRM data live apart, so teams re-key orders and reconcile by hand.
How Retailers Use AI Today
These use cases connect to your store and order data, so the AI answers with facts, not guesses.
Customer support agents
Resolve order status, returns, exchanges and policy questions on WhatsApp, web chat and email using live order and courier data.
COD confirmation and NDR calls
Voice or WhatsApp agents confirm cash-on-delivery orders and addresses, and follow up on failed deliveries before the parcel returns.
Product content generation
Draft titles, descriptions, bullet points and attributes from supplier sheets and images, in your brand voice and marketplace formats.
Search and recommendations
Semantic search that understands 'red cotton kurta under 1500' and recommendations based on browsing and purchase behavior.
Demand forecasting
Forecast SKU demand by store, region and season so buying and replenishment decisions start from data.
Cart and repeat-purchase journeys
Personalized reminders and offers on WhatsApp, SMS and email triggered by cart, browse and purchase events.
Retail AI and Commerce Software We Build
Each solution links to the service behind it. Most stores start with support or COD automation.
AI chatbots for commerce
Support and shopping assistants connected to your catalog, orders and courier tracking.
Voice AI agents
Outbound COD confirmation, delivery follow-up and feedback calls in English and Indian languages.
WhatsApp commerce
Order updates, catalog browsing, cart recovery and broadcasts on the WhatsApp Business API.
Generative AI for catalogs
Product content pipelines that draft, check and publish listings at catalog scale.
Custom store and back-office software
Storefronts, seller portals, order management and integrations with ERP, WMS and couriers.
Forecasting and recommendations
Machine learning models for demand, pricing signals and product recommendations.
From Store Audit to a Live Pilot
Store and data audit
We review your platform, channels, ticket categories, order and return data, and the systems that hold them.
Pick the first use case
We rank options such as order-status automation, COD confirmation or catalog content by impact and effort.
Pilot build
We connect the agent or pipeline to your store, courier and helpdesk APIs, with your tone of voice and policies.
Test on live traffic
We run it on a share of conversations or SKUs, review transcripts and outputs, and tune with your team.
Scale and add channels
We extend to more channels, languages or categories once the numbers you care about move.
What Is AI for Retail and E-commerce?
AI for retail and e-commerce is the use of language models, voice agents and machine learning to automate customer conversations, product content and operational decisions across a store. The goal isn't a flashy chatbot on the homepage. It's fewer repetitive tickets, fewer returns, better listings and stock in the right place.
Aaga is an AI-native engineering company. We build the AI and the commerce software around it, so the agent can actually see an order, check the courier, start a return or update the CRM.
Which Retail Workflows Benefit Most From AI?
The best first projects share three traits: high volume, clear rules and data you already have.
| Workflow | Data the AI needs | Typical channel |
|---|---|---|
| Order status and returns | Orders, courier tracking, return policy | WhatsApp, web chat, email |
| COD confirmation | New COD orders, address, phone | Voice call or WhatsApp |
| Failed delivery (NDR) follow-up | Courier NDR events | Voice call or WhatsApp |
| Product content | Supplier sheets, images, attribute rules | Store and marketplace feeds |
| Demand forecasting | Sales history, promotions, seasonality | Dashboard and ERP |
Customer support agents that know your orders
A support agent is only as good as its data. Ours read live order, payment and courier status, apply your return and exchange rules, and create the return or exchange request when the customer qualifies. Anything sensitive, like a damaged-item dispute or an angry customer, goes to your team with the full conversation. Learn how we approach AI chatbot development and AI voice agents.
COD confirmation and delivery follow-up
For stores in India and other cash-on-delivery markets, unconfirmed orders and failed deliveries are a direct cost. An agent can call or message every COD order within minutes, confirm the order and address, and update the order status so your team only ships confirmed orders. When a courier reports a failed delivery, the agent contacts the customer and records a new slot or address.
Product content at catalog scale
Generative AI can draft titles, descriptions, bullets and missing attributes from supplier sheets and product images. We add rules for each channel's format and character limits, check for claims you don't want made, and route drafts for approval. That gives you consistent listings across your store and marketplaces without a writer working through every SKU.
Search, recommendations and forecasting
Semantic search understands intent, synonyms and regional terms, not just keyword matches. Recommendation and forecasting models use your sales and behavior data. We build them with our machine learning team and keep them simple enough for your merchandising team to trust and override.
How Does AI Connect to My Store and Systems?
Most retail AI fails at integration, not intelligence. We connect to your store platform (Shopify, WooCommerce, Magento or a custom build), marketplace seller APIs, shipping aggregators and couriers, payment gateways, helpdesk, CRM, ERP and WMS. Messages go out through the WhatsApp Business API, SMS and email with opt-in and DND rules respected.
Where off-the-shelf apps fit, we'll say so. When your workflow needs custom logic, such as made-to-measure orders or multi-warehouse routing, we build it. Aaga built Fabriplay, a platform that connects customers, tailoring shop owners and staff with order booking and real-time order tracking, and a marketing automation and CDP platform with segmentation, multi-channel campaigns and AI-driven engagement scoring.
What About Customer Data and Privacy?
We design retail systems to support the data-protection rules that apply to you, such as India's DPDP Act, GDPR for EU customers and CCPA in California. That means consent for marketing messages, data minimization in AI prompts, role-based access for your team and logs of what the AI did. Payment card data stays with your payment gateway. This is general information, not legal advice.
Why Retailers Choose Aaga
- Senior engineers, directly. No account-management layers between you and the build team.
- Start with one workflow. A scoped pilot proves value before you commit to more.
- Own platform. Workflows, permissions, integrations and AI agents come from Aaga's own platform, so you aren't paying to rebuild the basics.
- Affordable. Lower cost than large IT services firms for comparable scope.
See WhatsApp marketing and automation, our AI automation services or all industries we serve.

Frequently Asked Questions
AI can answer order and return questions, confirm cash-on-delivery orders, write product content, power semantic search and recommendations, and forecast demand. Aaga connects these to your store, courier and ERP data so the answers and actions are based on live information.
We work with Shopify, WooCommerce, Magento and custom-built stores, plus marketplace seller APIs, courier and shipping aggregator APIs, payment gateways, helpdesks and ERPs. If a system has an API or reliable export, we can usually connect it.
Confirming COD orders and addresses before dispatch, and following up quickly on failed deliveries, are common ways to reduce return-to-origin. A voice or WhatsApp agent can do both at scale. We measure the effect on your own orders during the pilot rather than promising a number upfront.
Not if they are accurate, specific and reviewed. We generate content from your real product attributes, check it against rules for each channel and route it for human approval, so listings are consistent and useful rather than generic filler.
We design payments to go through your payment gateway, so card data doesn't pass through the systems we build, which helps reduce your PCI DSS scope. Our agents only read the order and payment status they need, and access is logged.
A focused pilot, such as an order-status agent on WhatsApp, typically takes a few weeks depending on integrations. We agree on the scope and timeline after the first consultation.
Yes. Because we build on our own platform components and start with a scoped pilot, the entry point suits growing D2C brands. The same architecture scales to multi-store retailers.
Turn Support Load Into Sales Time
Tell us your biggest ticket category or ops headache. We'll show you how an AI agent or better integration can take it on.
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