Decisions wait on reports that take days to assemble
Your platform, ERP, and marketing stack produce more data than anyone has time to read. Elogic Commerce builds a commerce copilot on top of it: ask questions in plain language, get forecasts for demand and revenue, and get alerted when something breaks before the weekly report.
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 AI analytics for ecommerce?
AI commerce analytics pairs demand forecasting with a natural-language copilot over your numbers. In the systems Elogic Commerce builds, the language model never computes figures: your data warehouse does, and forecasts ship backtested against history, so finance can trust what the copilot says.
Classic BI shows what happened, if someone builds the right chart and someone else reads it. A commerce copilot answers the question you actually asked, shows its working, and watches the numbers when you do not. For B2B, the strongest signal already sits in your ERP: years of orders per account. Elogic Commerce connects it, models it, and puts it one question away.
In brief
- In Elogic Commerce analytics builds, the LLM never computes numbers: your data warehouse does
- Forecasts ship backtested against your own history before anyone plans against them
- The commerce copilot answers in plain language with the query and figures shown for audit
What you get
Ask your data anything
Plain-language questions over commerce, ERP, and marketing data. The copilot computes the answer, shows the breakdown, and cites the numbers it used.
Demand and revenue forecasts
SKU and category-level demand, revenue projections, and reorder-point suggestions. Backtested against your own history so you know the error range.
Anomaly alerts
Conversion drops, order dips, stock risks, and tracking breakages surface the day they happen, not in next week’s meeting.
Account risk signals
For B2B: accounts whose ordering is slowing get flagged early, with the evidence. Your team calls before the revenue is gone.
Automated digests
A weekly trading summary written from the data: what moved, why, and what needs a decision. Delivered to email or Slack.
Your cloud, your data
The stack runs in your infrastructure with role-based access. GDPR-aligned by design, under ISO 27001 and SOC 2 Type II delivery controls.
Answers, not dashboards
Ask why revenue moved and get the breakdown, not a link to a dashboard. Forecasts come with backtested confidence, and alerts fire the day something breaks.
- • Every answer shows the numbers and segments behind it
- • Forecasts are backtested on your own history, with error ranges
- • Alerts watch conversion, orders, and stock around the clock
BI dashboards vs a commerce copilot
Your BI stack stays. This is what changes on top of it, and why the two are better together.
| BI dashboards | Commerce copilot | |
|---|---|---|
| How you ask | Find or build the right chart | Ask the question in plain language |
| What you get | What happened | What happened, why, and what comes next |
| Forecasting | Usually a separate spreadsheet | Backtested demand and revenue forecasts, built in |
| Watching the numbers | Someone has to look | Anomaly alerts fire on their own |
| Who can use it | Analysts and the trained few | Anyone on the team, scoped by role |
| Trust model | Depends on the chart’s author | Governed queries, shown working, monthly accuracy reviews |
What question can your data not answer today?
Bring it to the discovery call. We show you how the copilot would answer it from your actual systems.
Built on a clean data foundation
Copilots on messy data give confident wrong answers. Elogic Commerce fixes the foundation first: connected sources, verified tracking, one governed model of your commerce truth. Then the AI layer earns trust.
• Answers are computed from governed data models, not guessed by a language model.
• Forecast accuracy is proven by backtesting before anything goes live.
• Runs in your cloud. Dashboards and models are your IP, with no per-seat licensing from Elogic Commerce.
• Complements your BI stack instead of replacing it.
Data sources
- Commerce platform
- GA4
- Email & ads platforms
- CRM
- SAP S/4HANA
- NetSuite
- Microsoft Dynamics 365
- Visma
Data platform
- BigQuery
- Snowflake
- dbt
- Looker Studio
- Power BI
AI models
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source (Llama, Mistral)
Where the copilot earns its keep
Four deployments we build most often, in B2B and large-catalog B2C.
01
Weekly trading review, automated
The Monday meeting starts from a written digest of what moved and why. The team spends the hour on decisions, not chart archaeology.
02
Demand planning for consumables
SKU-level forecasts with reorder dates keep fast movers in stock and cash out of dead inventory.
03
Key account watchtower
B2B revenue concentrates in few accounts. The copilot watches every one of them and flags slowdowns with evidence attached.
04
Finance-grade revenue forecasts
Rolling projections with stated confidence ranges, backtested and explainable. Planning stops arguing about the spreadsheet.
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
Data foundation audit
We map sources, verify tracking, and score data quality. You see what can be trusted today and what needs fixing first.
• STEP 2
Connect and model
Sources land in your warehouse under one governed model of orders, products, accounts, and sessions.
• STEP 3
Backtest the forecasts
Models train on your history and prove themselves against held-out periods. You see the error ranges before going live.
• STEP 4
Copilot rollout
The conversational layer, digests, and alerts go to the teams that need them, with role-based access.
• STEP 5
Run and retrain
Models retrain on new data, alerts tune to your thresholds, and a monthly review keeps the system honest.
Built on proven B2B delivery
Analytics is only as good as the integrations underneath. This is the systems record Elogic Commerce builds 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 |
|---|---|---|---|
| Data foundation audit | 2-3 weeks | Scoped after discovery | A scored map of your data quality and a prioritized path to trustworthy analytics |
| Copilot build | 2-4 months | Scoped after discovery | Warehouse model, backtested forecasts, conversational layer, digests, and alerts |
| Managed analytics | SLA-backed retainer | Scoped after discovery | Retraining, new questions and metrics, and monthly accuracy reviews |
Trust the forecast before you use it
The first deliverable is a backtest against your own history. You see the accuracy before any decision depends on it.
Is this the right fit?
Strongest fit when
You run an ERP and a commerce platform whose data never quite meets
Stockouts and overstock both cost you money every quarter
A few key accounts carry your revenue and nobody watches them systematically
You want forecasts with proven accuracy, not vendor promises
Better fit elsewhere if
Your order volume is too low for statistical forecasting to beat judgment.
You need basic dashboards only. Your platform’s native reports may be enough, and we will say so.
Your tracking is broken and you want to skip fixing it. The foundation comes first.
Industries we build AI Analytics and Forecasting
Let’s talk
Start with the data foundation audit. In 2-3 weeks you know what your data can already answer and what a copilot would unlock. 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 ecommerce analytics: frequently asked questions
We prove it instead of promising it. Models are backtested against your own held-out history, and you see the error ranges per SKU group before anything goes live. Forecasts ship with confidence intervals, not single numbers, and accuracy is reviewed monthly.
No. Numbers are computed by governed queries and statistical models on your warehouse. The language model translates questions into those queries and explains the results. That split is what makes answers trustworthy.
The stack runs in your own cloud with role-based access. Elogic Commerce delivers under ISO 27001 and SOC 2 Type II controls, and the design is GDPR-aligned. No model training on your data without written consent.
The audit takes 2-3 weeks. First backtested forecasts and the copilot typically go live inside 2-4 months, depending on source count and data quality.
BI shows what happened, if someone builds and reads the right chart. The copilot answers the question you asked, in language, with the breakdown attached, and adds what BI does not do: forecasts, risk scores, and always-on anomaly alerts. Your BI stack stays and gets a better data model underneath.
Order history from your platform or ERP, product data, and web analytics. Twelve months or more of history makes forecasting meaningful. The audit scores exactly what you have and what it supports.
Trading and merchandising ask questions daily, operations gets stock alerts, sales gets account risk flags, and leadership gets the weekly digest. Access is scoped by role.
Related AI solutions from Elogic Commerce
AI Personalization
Predictive reordering and account-based recommendations built on ERP order history.
AI Accelerator
Eight weeks from AI ideas to one measured pilot and a fundable scale roadmap.
Catalog Enrichment
Supplier-grounded product data enrichment at scale, with human approval before publish.
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 analytics practice builds on this integration depth: governed data models, backtested forecasting, and a conversational layer that puts commerce truth one question away. 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.