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PlatformAdaptive Commerce° (by WithPraxis.ai)

Adaptive Commerce° for complex merchants.

Commerce operations that adapt to customer behaviour. Traditional ecommerce platforms display products, process orders, and track inventory, but do not understand your business, predict what customers need, or adapt to operational realities. Adaptive Commerce is different: built on the WithPraxis.ai practical AI foundation, every interaction learns, every decision is supported, and every process evolves. For B2B and B2C operations where commerce decisions directly impact revenue, efficiency, and customer satisfaction.
600+
Commerce projects
40+
Engineers · on staff
31
Years · systems behind commerce
1995
Founded
Contents · 6 sections
  1. 01Core capabilities
  2. 02Selected case studies.
  3. 03How this platform fits the wider commerce estate.
  4. 04Questions we get asked.
  5. 05Clients we build for.
  6. 06Where this fits in the wider estate.
01 · Core capabilities

Core capabilities

Intelligent Product Discovery
AI-led search understands intent, not just keywords. Visual search finds products from images. Voice ordering accepts natural language. Conversational commerce handles complex requests. Powered by AI Search and Custom LLM Deployment from the WithPraxis.ai platform.
Adaptive Catalogs
Every customer sees a different catalogue based on contracts, order history, preferences, and behaviour. AI merchandising surfaces relevant products automatically. Pricing adjusts by customer, timing, and context. Powered by Recommendation Engine and Ecom Manager Assist.
Predictive Ordering
AI suggests complete orders based on patterns. Smart reordering adjusts quantities based on usage. Predictive replenishment triggers orders before stock runs out. Powered by Recommendation Engine and Insights. Predictive Replenishment System available standalone.
Smart Fulfillment
AI determines optimal fulfilment location based on inventory, proximity, capacity, and costs. Predictive fulfilment starts picking before the customer confirms. Dynamic delivery scheduling optimises routes and timing. Powered by Workflow Orchestration and Insights. Smart Fulfillment Engine available standalone.
AI-First Customer Support
Customers chat with AI that understands order history, products, and account details. Proactive outreach based on behaviour patterns. Multilingual support, voice-to-chat, and contextual conversations. Powered by Custom LLM Deployment and CRM tools. Conversational Commerce Engine available standalone.
Unified Data Foundation
Connects ERP, CRM, PIM, WMS, payment systems, and marketplaces with real-time sync. No manual exports. Works with SAP, NetSuite, Dynamics, Salesforce, Akeneo, Shopify, and custom systems. Powered by Bytebard Data Mesh and PIM Toolbox.
Dynamic Pricing Intelligence
AI recommends optimal prices by customer, product, timing, and competitive position. Enforces margin guardrails. Suggests negotiation strategies. Monitors market pricing automatically. Powered by Ecom Manager Assist and Marketing Intelligence. Dynamic Pricing Intelligence available standalone.
Predictive Analytics
Demand forecasting predicts customer needs 30-90 days out. Churn prediction identifies at-risk accounts. Relationship health scoring guides intervention timing. Anomaly detection flags issues early. Powered by Insights and Marketing Intelligence. Commerce Intelligence Hub available standalone.
Governance and guardrails
Decision logs, override controls and audit trails for every AI-led action so commercial owners stay accountable for outcomes.
Operating model alongside iWeb engineering
WithPraxis.ai owns the AI platform and operating model; iWeb owns commerce systems, integrations and delivery. Clients get intelligence and execution under one plan.
Honest fit assessment
Where the operation is simple enough, iWeb will say so and recommend the simpler path. Not every merchant needs Adaptive Commerce°.
Governed proof posture
The framework is recent. Adjacent iWeb engagements with comparable operational complexity are surfaced as reference rather than as direct Adaptive Commerce° proof.
Adaptive Commerce° on WithPraxis.ai
Explore the full capability set: AI search, adaptive catalogues, predictive ordering, smart fulfillment, and the unified data foundation that runs underneath.
Explore Core capabilitiesSee Adaptive Commerce° on WithPraxis.ai
02 · Relevant iWeb work
03 · Platform fit and estate context

How this platform fits the wider commerce estate.

Fit against operational shape
Catalogue depth, trade complexity, branch logic and ERP integration named honestly before the platform decision is fixed, not assumed from a vendor demo.
Integration boundary with ERP
ERP owns commercial data, pricing and stock. The commerce platform reads the boundary through governed APIs; the boundary itself is the most important design decision in the estate.
PIM as the catalogue system of record
Deep catalogue governance lives in PIM (Akeneo, Salsify or similar). The commerce platform reads from PIM rather than re-modelling product data in the storefront.
OMS and fulfilment surface
Order management, partial dispatch, returns and customer-visible order state live in operational systems. The platform reads what operations actually did.
Search and merchandising
Native search plus specialist engines (Algolia, Constructor.io) assessed against the actual query mix, not a vendor benchmark. Relevance is a continuous activity.
B2B and trade behaviour
Account-only catalogues, customer-specific pricing, depot stock, quote-to-cart and partial dispatch modelled inside the platform rather than patched at the storefront.
Multi-store and multi-territory
Brand, market and territory storefronts modelled with shared catalogue, pricing and operations rather than parallel sites that drift apart.
Total cost over five years
Licence, hosting, engineering and support modelled honestly across the lifecycle, not just year one. The cheap year-one platform is often the expensive five-year one.
Headless and composable trade-offs
Headless or composable storefronts where they earn their place, not as a default. The trade-off between optionality and integration surface is named upfront.
Operational ownership and runbook
Long-term support, releases and integration ownership inside a UK agency that runs platforms day to day, with a written runbook the on-call team can act on.
Replatform sequencing
Where a platform move is on the table, sequencing by domain, traffic share or territory keeps trading live throughout. Big-bang relaunches are rarely the right shape.
Honest "do not move" advice
Where the existing platform is the right answer, iWeb says so on the record. A senior, written read on the brief is the deliverable, not a sales pitch.
04 · Questions we get asked

Questions we get asked.

What is Adaptive Commerce° in one sentence?

An AI-first commerce platform built by WithPraxis.ai that understands your business, predicts customer needs, and adapts operations automatically, delivered with iWeb as the engineering partner.

Does Adaptive Commerce° replace my ecommerce platform?

No. It runs alongside your commerce platform, PIM, and ERP. The commerce engine still does what it does best; the intelligence, governance, and decision work happens in Adaptive Commerce°.

How is WithPraxis.ai different from iWeb?

WithPraxis.ai brings the AI platform, operating model, and governance work. iWeb brings the commerce systems, integrations, and engineering. Clients get intelligence and execution under one delivery plan.

Is Adaptive Commerce° suitable for B2B trade?

Yes. The framework is shaped by merchants who run depots, branches, complex price lists, and ERP-bound pricing. B2B trade behaviour including quote-to-cart, partial dispatch, and contract pricing is central to the design.

When is Adaptive Commerce° not the right fit?

When the operation is simple enough that a standard build does the job. iWeb will say so and recommend the simpler path; not every merchant needs Adaptive Commerce°.

Is there direct case-study proof for Adaptive Commerce° as a named framework?

The framework is recent. The projects on this page are governed iWeb engagements with comparable complexity, listed as adjacent reference rather than direct Adaptive Commerce° proof.

How does iWeb choose between platforms?

Against operational shape: catalogue depth, trade complexity, ERP integration, multi-territory rules and five-year cost. The decision is written down with trade-offs, not assumed from a vendor demo.

Where does ERP integration sit in the platform decision?

It is a primary input. Some platforms make ERP integration straightforward, some make it expensive. iWeb names the trade-off rather than hiding it.

Does iWeb deliver headless or composable storefronts?

Where they earn their place. The trade-off between optionality and integration surface is named upfront; composable is not a default.

How is search handled on this platform?

Native search where the query mix supports it; specialist engines (Algolia, Constructor.io) where the catalogue, volume or merchandising appetite justify them. Relevance is a continuous activity.

Where does PIM sit relative to the commerce platform?

PIM owns catalogue truth (attributes, variants, assets, channel readiness). The commerce platform reads from PIM rather than re-modelling deep product data in the storefront.

Can iWeb take over an existing build on this platform?

Yes, where the brief fits. iWeb will give a senior, written read on what is working, what needs remediation and what is honestly fixable, and the first month on support stays deliberately conservative on change.

Accreditations & assurance
Gold Commerce Partner
Specialised in Commerce & AI
ISO certified
27001 · 9001 · 42001
Cyber Essentials Plus
Independently verified security
WCAG 2.2 AA
Accessibility embedded by design
Employee-owned
The same team, long term
Next step

Adaptive Commerce° brief still open?

Send the brief. You'll get a written response from a senior expert on the platform, ERP and operational realities we'd look at first, not a pitch deck.
Talk to an expertor see adaptive commerce° on withpraxis.ai →