AI for ecommerce and retail
Ideasforge builds artificial intelligence solutions for ecommerce, retail and distribution companies that need to automate operations, improve customer service and connect sales, logistics and administrative systems. We design AI agents, automations and intelligent assistants connected to ecommerce platforms, ERP, CRM, PIM, databases, customer service tools, logistics, email, APIs and internal applications. It’s an industry where we can help, although we don’t have a client in it yet: this page describes what we would build, with the method behind the five systems we already have in production.
We don’t apply AI to add a surface layer to the store. We build it into processes where it can cut manual work, improve the customer experience or speed up operations.
Artificial intelligence for ecommerce and retail operations
When information is spread across several tools, part of the daily work depends on people who look for data, update systems, answer questions or coordinate incidents.
Artificial intelligence can help interpret that information and use it inside automated processes.
- Products
- Catalog
- Orders
- Customers
- Returns
- Incidents
- Promotions
- Suppliers
- Inventory
- Customer service
- ERP
- CRM
- PIM
- Ecommerce
- Logistics
- Databases
- Internal applications
What can AI automate in ecommerce and retail?
AI can step into sales, operational, administrative and customer service processes.
Check whether automating customer replies pays off for you →Customer service
Questions that need a person can be passed on with the context already gathered.
- Products
- Orders
- Returns
- Availability
- Shipping
- Incidents
- Policies
- Promotions
Order management
AI can help interpret requests, detect incidents and coordinate actions between the ecommerce platform, ERP, logistics and customer service.
Catalog and product
- Structure information
- Enrich product pages
- Classify products
- Detect missing data
- Summarize features
- Adapt internal content
Incident management
AI can interpret an incident, identify the order or customer, classify it and trigger the right process.
Administrative processes
- Validations
- Data entry
- Coordination between systems
- Email classification
- Document generation
- Status updates
Customer service connected to orders and catalog
An ecommerce chatbot can do much more than answer frequently asked questions.
The conversation becomes an interface over the business’s real processes.
Conversational agents →When it’s connected to the company’s systems it can
- Look up orders
- Check statuses
- Retrieve product information
- Check availability
- Log incidents
- Start returns
- Collect details
- Hand cases over
“Which delayed orders belong to VIP customers?”
An agent can work on top of the infrastructure the company already uses.
Which products are low on stock and selling above average this week?
The system can retrieve the authorized information and return an answer without making the user check several tools.
Depending on permissions, it can also take actions.
It can query or use information from
- Ecommerce platform
- ERP
- CRM
- PIM
- WMS
- Databases
- APIs
- Customer service systems
- Internal applications
Automating incidents and returns
Returns and incident processes tend to create repetitive work.
AI interprets the part that varies.
Business rules control which operations are allowed.
- Interpret the request
- Identify the order
- Check conditions
- Apply rules
- Ask for more information
- Create the return
- Update systems
- Send a confirmation
Sales and operational process automation
Many ecommerce and retail processes need to combine AI with conventional software.
AI helps understand the input.
The software controls the process.
- Question received
- interpretation
- order identified
- status lookup
- reply
- Incident
- classification
- ERP
- logistics
- update
- message
AI for catalog and product management
Large catalogs can create a lot of operational work.
It can also use information from the PIM, ERP or databases to keep product processes more consistent.
AI can help to
- Classify products
- Detect inconsistencies
- Generate internal descriptions
- Summarize attributes
- Normalize information
- Identify incomplete fields
Searching and looking up product information
A conversational system can let customers or employees look up products in natural language.
The same technology can be adapted to different users and sources.
I need a waterproof winter jacket for under 150 euros.
Which items in this category haven’t sold for more than 60 days?
AI for internal support and operations
The system can respect permissions and show the sources it used.
AI for internal documentation and corporate knowledge →Ecommerce and retail teams can also use internal assistants to look up
- Procedures
- Policies
- Product documentation
- Logistics processes
- Return protocols
- Manuals
- Sales information
Email and ticket automation
Many incidents arrive by email or through ticketing systems.
AI can help to
- Interpret messages
- Identify orders
- Classify reasons
- Extract data
- Set priority
- Start workflows
- Hand cases over
That turns unstructured input into controlled processes.
Omnichannel ecommerce and retail
In organizations with an online store, physical stores and several channels, information can be spread across different systems.
The architecture has to respect which system is the right source for each piece of data.
An agent can help look up and coordinate information about
- Orders
- Inventory
- Customers
- Returns
- Promotions
- Incidents
- Availability
Integration with existing systems
You don’t need to replace your current infrastructure.
Before integrating we analyze
- Permissions
- Data quality
- Allowed operations
- Impact of errors
- Traceability
- Need for human validation
We can design solutions connected to
- Shopify
- Magento
- WooCommerce
- Custom ecommerce platforms
- ERP
- CRM
- PIM
- WMS
- Databases
- APIs
- Customer service tools
- Internal applications
Control, rules and exceptions
In ecommerce, a wrong action can affect orders, stock, customers or money.
That’s why critical decisions are made by the code, never by the model.
We can build in
- Validations
- Permissions
- Limits
- Business rules
- Human approval
- Logs
- Traceability
- States
- Exception handling
AI can interpret a request.
The software decides whether the operation meets the conditions.
Where does the biggest return usually show up?
AI usually adds the most value when there are
- High order volumes
- Many customer questions
- A large catalog
- Frequent incidents
- Returns
- Several systems
- Repetitive administrative processes
- Large teams
Before building we analyze
- Volume
- Frequency
- Current time
- Running cost
- Errors
- Number of users
- Share that could be automated
We don’t look to automate more. We look to automate what has the most impact.
How we build AI solutions for ecommerce and retail
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01 We analyze the process
We study how it works today and which systems, people and channels are involved.
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02 We identify friction points
We look for repetitive tasks, incidents, questions and data moving between systems.
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03 We review systems and data
We analyze the ecommerce platform, ERP, CRM, PIM, WMS, databases and APIs.
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04 We design the architecture
We define which part needs AI, which part should stay in conventional software and which controls are needed.
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05 We build and evaluate
We test common cases, errors, exceptions and edge cases.
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06 We deploy and monitor
We measure usage, times, errors, handovers and results.
When is custom AI worth building for ecommerce or retail?
If an off-the-shelf solution solves the problem well, building from scratch won’t always be necessary.
Custom development usually makes sense when
- Several systems have to work together
- There’s a high volume of orders or questions
- The catalog is complex
- There are specific rules
- An off-the-shelf tool doesn’t cover the whole flow
- You need control over data and actions
- There are high-frequency repetitive processes
Artificial intelligence for ecommerce and retail
How can AI be used in ecommerce?
AI can handle customer service, order management, incidents, returns, the catalog, product search and internal process automation.
It can also connect to ecommerce platforms, ERP, CRM, PIM and other applications.
Can AI look up an order’s status?
Yes. A conversational agent can look up current information from the authorized systems and answer the user.
Can it automate returns?
Yes. The system can interpret the request, check conditions and run the right flow according to the rules defined.
Can it connect to Shopify, Magento or WooCommerce?
Yes, as long as there’s a suitable integration path.
It can also connect to custom ecommerce platforms.
Can it help manage a large catalog?
Yes. AI can help classify, structure and enrich product information, and detect inconsistencies or incomplete fields.
Can AI be used for customer service?
Yes. An agent can answer questions, look up orders, log incidents and hand cases over when needed.
Is AI safe for taking actions on orders or customers?
It can be, if the architecture defines permissions, rules, validations and traceability.
Critical actions are decided by the code, with human approval when needed.
How much does it cost to bring AI into ecommerce or retail?
The cost depends on the process, the volume, the integrations, the systems involved and how complex the rules are.
A single automation and a system connected to many platforms have different scopes.
Other industries
Tell us which process you want to improve
You don’t need to arrive with a defined technology solution. Tell us which process eats up time, which systems your team uses and where most incidents or manual work show up. We’ll look at what can be automated, where it makes sense to bring in artificial intelligence and what architecture it would take to get it into production.