You have budget and mandate for AI but no evidence-based plan yet
Most ecommerce AI initiatives stall because they start with tools instead of problems. The AI Commerce Accelerator is an 8-week program that ends differently: a ranked use-case portfolio, one working pilot on your real data, measured results, and a scale roadmap your board can fund.
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 accelerator for ecommerce?
An AI commerce accelerator is a fixed-length program that converts AI ambition into ranked, evidenced decisions. The Elogic Commerce version runs eight weeks: opportunity workshops, a readiness audit, an ROI-ranked portfolio, and one pilot built and measured against a control group, ending in a fundable scale roadmap.
The pattern behind failed AI projects is consistent: a tool is bought, a demo impresses, and six months later nothing runs in production. The accelerator inverts it. Problems are sized first, in money. Readiness is checked second, honestly. Only then is one pilot built, instrumented from day one. Elogic Commerce runs the program with the engineers who will build the production system, so the pilot is a foundation, not a throwaway. When the pilot graduates, AI-accelerated delivery pods build production scope in weeks, not quarters..
In brief
- The Elogic Commerce AI Commerce Accelerator runs eight weeks from ideas to one measured pilot
- A one-week feasibility sprint delivers a defensible go or no-go for a single problem
- Output includes an ROI-ranked portfolio and a scale roadmap your board can fund
What the program delivers
Six concrete deliverables in eight weeks. Everything is yours to keep, including the pilot code.
Executive and team workshops
Structured sessions that surface where money leaks and where AI plausibly helps. Commercial, operations, and IT in one room, one language.
ROI-ranked use-case portfolio
Every candidate scored on value, effort, and risk, with the evidence shown. Quick wins ship immediately. Weak ideas get parked, in writing.
Data and systems readiness check
A frank assessment of your data, integrations, and agent readiness, including the Agentic Commerce Readiness Index where relevant.
One working pilot
The top use case built on your real data in weeks 4 to 7, with guardrails, on your systems. Not a slideware demo.
Measurement with a control group
The pilot ships instrumented. You see the lift, or the honest absence of one, against a holdout. Decisions run on numbers.
Scale roadmap and governance
A sequenced plan for what to build next, plus the governance your board will ask about: security, data policy, model policy, and human oversight.
The portfolio board your steering committee sees
Every use case scored, every decision recorded, the pilot tracked week by week. Ideas without evidence get parked instead of funded. That discipline is the product.
- • Use cases ranked by ROI and effort, with the reasoning attached
- • Quick wins ship during the program, not after it
- • The pilot is measured against a control group from day one
A typical AI initiative vs the accelerator
The same eight weeks, spent two different ways. One ends with a demo. The other ends with evidence.
| Typical AI initiative | AI Commerce Accelerator | |
|---|---|---|
| Starting point | A tool someone liked | Problems sized in money |
| Use-case selection | Loudest voice wins | Scored portfolio: value, effort, risk |
| First build | A demo on sample data | A pilot on your real data, with guardrails |
| Measurement | Impressions in a meeting | Lift against a control group |
| After 8 weeks | A deck and momentum | Evidence, a roadmap, and code you own |
| Failure mode | Quiet abandonment | A documented, cheap, useful no |
Eight weeks to evidence
One discovery call tells you whether the accelerator fits your situation and what the pilot candidate would likely be.
Run by builders, not slide writers
Strategy decks age badly when the authors never have to build them. The accelerator is staffed by the Elogic Commerce engineers and architects who deliver the production systems afterward, which keeps every recommendation honest.
• Everything produced is your IP: workshop outputs, the portfolio, and the pilot code.
• Pilots are built on your systems and data, so scaling is a continuation, not a restart.
• We recommend against AI where the evidence is weak, and we put it in writing.
• Feeds directly into any of the Elogic Commerce AI products, or into your internal team’s backlog.
Program tracks
- Customer-facing AI
- Operations automation
- Data & analytics
- Agentic commerce readiness
Commerce platforms
- Adobe Commerce (Magento)
- Shopify Plus
- BigCommerce
- Salesforce Commerce Cloud
- commercetools
- Shopware
Systems in scope
- SAP S/4HANA
- NetSuite
- Microsoft Dynamics 365
- Visma
- Odoo
- PIM
- Helpdesk
- CRM
AI models
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source (Llama, Mistral)
Who runs the accelerator
Four situations where eight structured weeks beat another quarter of exploration.
01
A board mandate to ‘do AI’
Leadership wants movement and substance. The program converts the mandate into a ranked portfolio, one measured pilot, and a fundable plan.
02
Stalled experiments
Tools were bought, demos happened, production never came. The accelerator finds why, salvages what works, and restarts on evidence.
03
Build versus buy decisions
Vendors all promise the same outcomes. The readiness check and pilot give you an evidence base to choose on, independent of any tool vendor.
04
Building the internal capability
Your team co-builds the pilot with our engineers and inherits the playbook: use-case scoring, guardrails, measurement, and governance.
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
Weeks 1-2: workshops and audit
Use-case discovery with commercial and operations teams runs alongside the data and systems readiness check.
• STEP 2
Week 3: portfolio and pilot selection
The steering group sees every candidate scored on value, effort, and risk, and commits to one pilot with a success metric.
• STEP 3
Weeks 4-7: pilot build
The pilot is built on your real data with guardrails, instrumented against a control group. Quick wins from the portfolio ship in parallel.
• STEP 4
Week 8: results and roadmap
A readout with the measured result, the honest interpretation, and a sequenced scale roadmap with governance.
• STEP 5
After: scale or stop
Scale the pilot into production with Elogic Commerce or your own team, start the next use case, or stop with cheap, documented learning.
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 |
|---|---|---|---|
| Executive workshop | 1 day | Scoped after discovery | A focused session that maps your AI opportunity space and tests fit for the full program |
| Feasibility sprint | 1 week | Scoped after discovery | One problem defined in money, a prototype concept, and a go or no-go decision you can defend |
| AI Commerce Accelerator | 8 weeks | Scoped after discovery | Workshops, readiness audit, ranked portfolio, one measured pilot, and the scale roadmap |
| Scale delivery | Per roadmap | Scoped after discovery | Production build-out of the pilot and the next portfolio items, with ongoing AI leadership support |
Bring your board a number, not a deck
The program ends with measured pilot results and a funded-ready roadmap. Start with the workshop.
Is this the right fit?
Strongest fit when
Previous AI experiments produced demos, not production systems
Your value likely sits in commerce operations: service, catalog, ordering, analytics
You want your own team involved and the IP in-house
You need something a board or investors will recognize as rigor
Better fit elsewhere if
You already know the exact use case and just need it built. Go straight to the relevant Elogic Commerce AI product.
You want a tool recommendation without touching your data or processes.
Nobody senior can give the program attention for eight weeks. Timing matters more than intent.
Industries we build AI Commerce Accelerator
Let’s talk
Start with a discovery call. We tell you honestly whether the accelerator fits, and what your likely pilot candidate would be. 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 Commerce Accelerator: frequently asked questions
Because they start from tools instead of problems. A capability is bought, a use case is retrofitted, and the business case never survives contact with real data. The accelerator reverses the order: size the problem in money, check the data honestly, then build one pilot instrumented to prove or kill the idea.
You do. Workshop outputs, the scored portfolio, the readiness assessment, the pilot code, and the roadmap are all your IP. There is no software licensing from Elogic Commerce attached to any of it.
Yes, and we encourage it. Co-building transfers the playbook: use-case scoring, guardrails, measurement, and governance. Many clients scale the roadmap with their internal team afterward.
Workshop formats end with a concept and a roadmap, which is useful but unproven. The accelerator ends with a working pilot measured against a control group. If you want workshop speed, start with the one-week feasibility sprint: it delivers the problem definition, a prototype concept, and a go or no-go, and it flows straight into the pilot build if the evidence holds.
Then you learned that for the cost of eight weeks instead of a year of production build. The readout says so plainly, the use case is parked with the evidence attached, and the roadmap promotes the next candidate. Negative results are a success of the method, not a failure of the program.
Plan for a steering group of two to four leaders at about two hours per week, workshop participants for two half-days in the first two weeks, and one product or operations owner closer to the pilot in weeks 4 to 7. We run everything else.
The accelerator is the front door. Its pilots are typically early versions of the chatbot, agent, search, personalization, enrichment, or analytics products, so scaling is a continuation with the same engineers, not a handover.
The 8-week program is a fixed-scope engagement, priced after the discovery call based on company size and systems in scope. The one-day executive workshop is the smallest way to start and derisks the decision.
Related AI solutions from Elogic Commerce
Agentic Commerce
Strategy, protocols, and measurement for commerce where AI agents are the buyer.
AI Chatbots
ERP-grounded chatbots that answer with live orders, stock, and each account’s contract prices.
Analytics & Forecasting
Ask your commerce data questions in plain language and get backtested forecasts.
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 Commerce Accelerator packages this delivery capability into an 8-week program: ranked use cases, one measured pilot on real data, and a scale roadmap, all owned by the client. 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.