95 NPS across 700+ clients
4.9
AI strategy consulting for eCommerce
Be among the first in your industry to grow faster with a custom AI strategy, implemented into the systems your team already relies on.
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Trusted by leading brands worldwide
Trusted by leading brands worldwide
Two decades in eCommerce behind every AI decision
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Where AI programs stall before they start
Most companies are short of a way to tell which AI idea is worth funding, what it will cost, and whether the business is ready to support it once it goes live.
Ideas with no way to rank them
Every team has a list of things AI might do, and no shared basis for deciding which one earns the budget first.
Pilots that never reach production
A promising demo stalls because nobody scoped the data work, the compliance review, or who owns it after launch.
Tools bought before the problem
A licence gets signed because a competitor announced something, and the business case is written backwards from there.
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What an AI readiness assessment covers
The assessment covers the opening stages of a scandiweb AI project. We explore your business challenges alongside the AI tools that fit them, then confirm compliance and data security before mapping your requirements to a solution blueprint.
You receive a clear plan with estimated pricing and a timeline built around your business. The strategy call itself is free, and the plan is yours whether or not the work continues with us.
What AI changes, by the team that owns it
C-suite and business owners
A ranked view of where AI earns money in your business, with the effort and the expected return attached to each option. Where the EU AI Act applies to your use case, our EU AI compliance team scopes the obligations.
Marketing and performance teams
Campaign targeting, creative production, and placement inside AI answers. Winning that placement is its own discipline, covered by our AI search optimization team.
eCommerce directors and growth manager
Product content at market scale, personalization, and demand forecasting. Producing that volume of product and campaign copy is handled by our AI content strategy service.
HR and team operations
Screening, scheduling, and the repetitive coordination that consumes a recruiter's week. One scandiweb client replaced an applicant tracking system this way and saved €30K a year.
Development leads and engineering managers
Code assistance, review support, and the documentation work engineers postpone. Lifecycle and campaign automation is delivered by our AI marketing automation team where the two overlap.
QA leads and test managers
Test generation and regression triage across releases, leaving the manual pass for the cases that genuinely need a person.
Curious what it would take to make AI work for you?
Documented gains across client AI programs
Client wins that show what's possible with AI
Campaign performance rebuilt around AI targeting
10x
Lower campaign cost
+70%
Conversion rate
+192%
Add-to-cart rate
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DIY projects sales assistant that works 24/7
5x
Time spent engaging
+68%
Conversion rate
+95%
Average order value
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Increase in traffic after a B2B brand was made visible inside AI answers
+110%
Traffic from ChatGPT
+96%
Engaged sessions
+36%
Time on site
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Why brands choose scandiweb for AI strategy consulting
A prototype before a commitment
You see a working prototype before the full build is agreed, so the approach is proven on your own data first.
Two decades in eCommerce
The AI work rests on 23+ years of building enterprise stores, so recommendations account for how retail systems behave.
Use cases beyond marketing
The same team scopes AI for hiring and engineering workflows with the same rigor it brings to customer-facing ones.
Transparent delivery
Weekly demos show tangible progress through the build, and your feedback shapes what the team picks up next.
One-time cost, no monthly licence
Custom AI builds carry a one-time cost with nothing to pay monthly, and they typically pay for themselves within a year.
No long-term contract
The relationship continues because the work is worth continuing, and there is no minimum term holding you to it.
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Enterprise-grade security, bulletproof data privacy
AI work sends your data through systems you did not build, which raises the security bar. Everything is hosted on SOC 2 and ISO 27001 certified infrastructure on AWS or Azure. Zero PII leaves your cloud, LLM prompts are stripped of identifiers, and processes are GDPR and CCPA compliant.
How an AI project is delivered
From the first call to a working solution is typically 6 to 12 weeks. The opening stages produce the plan, and nothing is built until that plan is agreed with you.
Mapping your needs to solutions
We explore your business challenges and introduce the AI tools that fit them, shaping practical options against goals you already hold. Your requirements are analyzed into a detailed solution blueprint, with precise timelines and transparent cost estimates attached.
Legal clarity and data readiness
Compliance and data security are confirmed before anything is designed, with optional consultation on IP and data privacy.
Agreement and project kickoff
Everything is formalized in a straightforward agreement, and expectations for delivery and updates are set before work starts.
Iterative AI delivery
Build work proceeds in short cycles, and each one is reviewed against the agreed blueprint before the next cycle starts.
User testing and launch
The team tests thoroughly against real usage patterns, and your AI solutions reach production once that pass comes back clean.
Measuring and refining
We gather user feedback and usage data continuously, assessing impact against the business metrics that justified the work.
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Wondering what’s the highest-reward AI move for your business?
We’ll help you find the fastest win based on your current setup, your goals, and where AI can yield the most results. Let’s map out what’s possible!
What clients say about working with scandiweb
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We build on OpenAI, Adobe, Microsoft and AWS
OpenAI, Adobe Commerce, Microsoft Fabric, Salesforce, AWS, Pimcore, Klevu and hyvä, plus 100+ more. Model and platform choices are made per use case, not per vendor contract.
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No personal data leaves your cloud
SOC 2 and ISO 27001 certified hosting on AWS or Azure
Zero PII leaves your cloud; LLM prompts carry no identifiers
Processes built to GDPR and CCPA requirements
Signed DPA and NDA included in every engagement
Frequently asked questions about AI strategy consulting
What does an AI readiness assessment include?
It covers the opening stages of a scandiweb AI project — exploring your challenges against the AI tools that fit, confirming compliance and data readiness, then mapping requirements to a solution blueprint. You receive a clear plan with estimated pricing and a timeline built around your business, at no cost.
What does AI strategy consulting cost?
The strategy call is free. Beyond that, custom AI builds carry a one-time cost with no monthly licence afterwards, and they typically pay for themselves within a year. One recent program that would have cost €4 million was delivered for €250K in 14 weeks.
Do you build the AI systems, or only advise?
Both. You see a working prototype before committing to a full build. Delivery then continues through user testing and launch, with impact measured against your business metrics afterwards. This page covers strategy and readiness, while our specialist teams deliver the builds.
How long before an AI project produces results?
From the first call to a working solution is typically 6 to 12 weeks. You see a working prototype before the full build is delivered, so the approach is validated early. Delivery is iterative from there, with weekly demos showing progress and your feedback shaping what comes next.
What if our data is not ready for AI?
Data readiness is a named stage of every project, and it comes immediately after the first strategy session. Compliance and data security are confirmed before any solution is mapped, and where the data is not ready the plan sequences that work first — often starting with the data foundation.
Which AI tools and models do you work with?
We stay tool-agnostic and recommend against committing to a single vendor early. Where large language models are involved, prompts are stripped of identifiers and no personal data leaves your cloud. The plan names the specific tools for your use cases, chosen against what your team can maintain.
Talk to an AI strategist
Tell us what your business does and where the repetitive work builds up. A specialist from the AI team will respond with where AI fits and what a first project would involve.
Prefer to talk now? Book a call straight away, or email us at: [email protected]
Related AI services
Not sure which AI project pays off first? Start with a free assessment
A strategist will review where AI fits your business and what the project would look like.
