You handle high volumes of routine support tickets in ecommerce
We build enterprise AI chatbots that run on your real commerce data. The chatbot reads orders, stock, and account pricing from your platform and ERP. It answers customers in seconds, in their language, and hands complex cases to your team. And it does not stop at answers: it quotes, reorders, and takes the order.
17+ years in ecommerce, since 2009
200+ commerce specialists
NPS 70 post-launch client surveys
5.0 on Clutch 64 verified reviews
Trusted partnerships
Trusted by ecommerce teams
★★★★★ 5.0 · 64 reviews on Clutch
Mid-market & enterprise · EU & US
ISO 9001 and 27001-aligned processes for quality and security management.
What is an AI chatbot for ecommerce?
An AI chatbot for ecommerce is a conversational assistant that answers customers from live business data instead of scripts. Enterprise implementations, like those Elogic Commerce builds on platform and ERP data, resolve order, stock, and account-pricing questions in seconds, in the customer’s language, then quote, reorder, and take the order, escalating edge cases to humans with full context.
Most SaaS chatbots stop at generic FAQs. B2B commerce needs more. Contract prices, credit limits, approval rules, and account catalogs live in the ERP. Elogic Commerce builds AI chatbot solutions on that data, so every answer is correct for the specific account that asks. This is the difference between a chat widget and a conversational AI system your customers trust with orders.
In brief
- Elogic Commerce builds AI chatbots grounded in ERP data: account pricing, credit limits, and live stock in every answer
- The chatbot sells as well as supports: it quotes, reorders, and takes the order inside the conversation
- AI Chat Core, the working demo on this site, runs the same architecture on simulated ERP data
What the chatbot can do
We scope each build around the conversations that create the most tickets and the most revenue. These are the core capabilities of an enterprise AI chatbot solution for ecommerce.
Order status and tracking
Answers ‘where is my order’ from live order data. Shares tracking links, delivery windows, and delay reasons. This alone removes a large share of routine tickets.
Account-specific pricing
Quotes the correct contract price for each logged-in account. Respects tiers, currencies, and credit limits. One buyer never sees another buyer’s price.
Reorder in chat
Customers repeat a past order, paste a SKU list, or describe what they need. The chatbot builds the cart and syncs the order to your ERP.
Quote and RFQ intake
Collects specs and quantities, creates the request in your quoting workflow, and routes it to the right sales rep. No form fatigue.
Grounded product answers
Uses retrieval-augmented generation (RAG) over your catalog, specs, and documents. The chatbot cites its sources, which keeps answers accurate.
Human handoff
Escalates to your helpdesk with a summary and the full conversation. Agents continue where the chatbot stopped. Nothing is lost.
What your buyers will see
A conversation that resolves the request end to end. The assistant reads live order and pricing data, acts within your rules, and asks for approval before anything is committed.
- • Answers come from live ERP and order data, not canned replies
- • Contract prices render per account and are never exposed across buyers
- • Actions above your thresholds wait for human approval
SaaS chatbot vs custom ERP-grounded chatbot
Both have a place. The honest comparison, so you can pick the right one for your situation.
| Off-the-shelf SaaS bot | Elogic Commerce custom build | |
|---|---|---|
| Data it can use | Your FAQ pages and help center | Live ERP and platform data: orders, stock, invoices, account terms |
| Pricing answers | List prices at best | The correct contract price per logged-in account |
| Complex requests | Links you to a form | Executes the task: reorders, RFQs, order changes, with approvals |
| Wrong-answer control | Generic model behavior | Grounded answers with sources, scoped refusals, human handoff, audit log |
| Cost model | Per-seat or per-resolution subscription forever | Your IP after the build, plus a support retainer you control |
| Sells or supports | Mostly deflects tickets | Both: it answers, quotes, reorders, and takes the order |
| Right choice when | Low volume, simple FAQs | B2B rules, ERP data, high ticket volume, multiple languages |
See it answer on your data
Bring one week of real tickets to the discovery call. We show you what the assistant would have resolved on its own.
Connected to the systems you already run
A chatbot is only as good as the data behind it. Elogic Commerce has built production ERP and commerce integrations since 2009. We connect the chatbot to your stack through secure APIs and middleware, with role-based permissions.
• Model-agnostic: we select AI models by quality, cost, and privacy, and you can switch later.
• Your data stays in your infrastructure by default. No training on your data without written consent.
• One conversation across storefront chat, WhatsApp, email, and your B2B portal: context carries over instead of resetting per channel.
• Delivered under ISO 27001 and SOC 2 Type II security controls.
• Multi-language from day one, matched to the markets you sell in.
Commerce platforms
- Adobe Commerce (Magento)
- Shopify Plus
- BigCommerce
- Salesforce Commerce Cloud
- commercetools
- Shopware
ERP and backend systems
- SAP S/4HANA
- NetSuite
- Microsoft Dynamics 365
- Visma
- Odoo
- Infor
- Epicor
- Oracle
AI models
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source (Llama, Mistral)
Helpdesk and CRM
- Zendesk
- Gorgias
- Salesforce Service Cloud
- HubSpot
- Freshdesk
Where an ecommerce AI chatbot pays off
Four proven starting points. Most clients begin with one, prove the numbers, then expand.
01
B2B customer service
Deflect routine tickets around orders, invoices, returns, and stock. The chatbot works 24/7, in every language you sell in, and escalates edge cases to agents.
02
Guided selling on product pages
A conversational assistant answers spec questions, compares products, and adds items to the cart. Buyers get answers without leaving the page.
03
Wholesale reorder assistant
Distributors and dealers reorder by SKU list, chat, or a short description. The assistant checks stock and contract price, then places the order in the ERP.
04
Agent copilot for your support team
The AI drafts replies with full order and account context. Your agents review and send. Response times drop and quality stays high.
How we deliver
Structured, governed, accountable. The same delivery framework behind every Elogic Commerce build: defined discovery, milestone delivery, RACI accountability, and transparent reporting.
• STEP 1
Discovery and data audit
We map your ticket volume, data sources, and integration points. Together we pick the first use case and define success metrics.
• STEP 2
Pilot on real data
A working chatbot on one high-volume use case, with guardrails, in 6-8 weeks. We measure resolution rate and customer satisfaction from day one.
• STEP 3
Integration and permissions
Production connections to your ERP, helpdesk, and customer login. Role-based access controls what each user, and the chatbot, can see.
• STEP 4
Launch and tuning
Controlled rollout with monitoring, analytics, and prompt tuning. We review every low-confidence answer and improve it.
• STEP 5
Run and improve
SLA-backed support, new intents, model updates, and a monthly performance review. The chatbot gets better every month.
Built on proven B2B delivery
AI features only work on top of solid commerce and ERP foundations. This is the delivery record Elogic Commerce builds them on.
5×
Faster order approvals after digitizing B2B workflows on Adobe Commerce
40% fewer manual orders
B2B self-service portal with SAP S/4HANA and PIM integration
3+ years
Engagement period
+31%
Increase in checkout conversion rate
-65%
-65%
+$1.1M
New B2B revenue stream unlocked in year 1
2.5 months to launch
B2B wholesale portal for 1,400+ wholesale users, live and transacting
Engagement at a glance
Every engagement is scoped after discovery, with milestone-based billing and transparent change management. No surprises.
| Engagement | Typical timeline | Investment | Best for |
|---|---|---|---|
| Chatbot pilot | 6-8 weeks | Scoped after discovery | Testing one high-volume use case, such as order status or product Q&A, on real data |
| Full build | 3-6 months | Scoped after discovery | An ERP-connected assistant across customer service and sales, with human handoff |
| Managed run | SLA-backed retainer | Scoped after discovery | Monitoring, tuning, new intents, and monthly performance reviews after launch |
Scope your chatbot pilot
A 30-minute call is enough to define the first use case and estimate the 6-8 week pilot.
Is this the right fit?
Strongest fit when
Your prices, stock, or order rules depend on the account, not just the product
You run, or plan, an ERP integration (SAP, NetSuite, Dynamics 365, and others)
You sell in several languages or time zones and need 24/7 coverage
You have a helpdesk and want the chatbot and agents to work as one system
Better fit elsewhere if
You only need a simple FAQ widget. An off-the-shelf SaaS tool is cheaper, and we will say so.
Your store has very low support volume today.
You have no product or order data source the chatbot could use yet.
Industries we build AI Chatbot Development
Let’s talk
Start with a discovery call. We review your support volume, data, and systems, then propose the smallest pilot that can prove value. Tell us what you are working on. We come back with an honest assessment of fit, scope, and timeline.
Ready to chat?
Send your requirements. We reply within one working day with a fit assessment and next steps.
AI chatbot for ecommerce: frequently asked questions
It depends on scope. A pilot on one use case is a small, fixed-scope engagement. A full ERP-connected build across service and sales costs more and fits within the typical Elogic Commerce project range. We give a detailed estimate after discovery, with milestone-based billing.
Adobe Commerce (Magento), Shopify Plus, BigCommerce, Salesforce Commerce Cloud, commercetools, and custom builds. Elogic Commerce is platform-neutral, and the chatbot layer works across all of them.
Elogic Commerce holds ISO 27001 and SOC 2 Type II certifications. Customer data stays in your infrastructure by default, access is role-based, and we never allow model training on your data without written consent.
A pilot typically launches in 6-8 weeks. A full enterprise rollout with ERP integration, helpdesk connection, and several use cases typically takes 3-6 months.
Three controls. First, we ground every answer in your own data with retrieval-augmented generation, so the chatbot cites sources instead of guessing. Second, we restrict its scope: outside that scope it says it does not know and hands off to a human. Third, we log and review low-confidence answers and tune the system every month.
Yes. This is the core of our approach. We build secure, permission-aware connections to SAP S/4HANA, NetSuite, Microsoft Dynamics 365, Visma, Odoo, and other systems, so the chatbot answers with the correct data for each account.
We are model-agnostic. We select from OpenAI, Anthropic, Google, and open-source models based on quality, cost, latency, and privacy requirements. The architecture lets you switch models later without a rebuild.
If you only need FAQ answers, buy a SaaS tool. If your answers depend on account pricing, ERP data, or complex order flows, a custom build is the only option that works. We assess this honestly in discovery and recommend the cheaper path when it fits.
Related AI solutions from Elogic Commerce
AI Agents
The gateway build that makes your store readable and transactable for AI agents, with guardrails.
AI Search
Hybrid semantic search that finds the right part in large, spec-heavy catalogs.
AI Accelerator
Eight weeks from AI ideas to one measured pilot and a fundable scale roadmap.
About Elogic Commerce
Elogic Commerce is an ecommerce development company founded in 2009, headquartered in Tallinn, Estonia, with offices in Prague, Munich, Dresden, Amsterdam, Stockholm, London, New York. With 200+ commerce engineers, architects, and project managers, Elogic Commerce specializes in complex B2B and B2B2C ecommerce, enterprise replatforming, ERP, CRM, and PIM integration, and long-term managed support across Adobe Commerce (Magento), Shopify Plus, BigCommerce, Salesforce Commerce Cloud, and commercetools.
The AI chatbot practice extends this engineering base: conversational AI grounded in commerce and ERP data, delivered with the same governance as every Elogic Commerce project. Elogic Commerce holds ISO 27001 · SOC 2 Type II · ISO 9001 certifications, an NPS of 70, and a 5.0 rating on Clutch. The company is a certified Adobe Commerce Silver Solution Partner, Shopify Plus Partner, Certified Bigcommerce Partner, Salesforce Select Partner, and Hyvä Bronze Partner, and received the Magento Community Engineering Award at Adobe Imagine 2019.