For e-commerce businesses where the infrastructure is the problem, and better marketing strategy will not fix it. Covers architecture, product data structure, systems integration, platform recommendation, and phased transformation roadmap.
You know your e-commerce operation is not working the way it should. The store is a legacy of accumulated decisions. The ERP does not reliably talk to the storefront. Someone is manually updating prices. Product data is inconsistent. Every time you try to fix one thing, you hit a wall of interconnected problems you cannot untangle alone.
These are not individual problems to be fixed one at a time. They are the cumulative result of a store built on foundations that were never designed to scale. Investing further in growth on top of those foundations produces more waste, not more revenue. This engagement rebuilds those foundations.
The work begins with a full operational audit of the current state. Nothing is assumed. Every structural decision that is creating cost or drag is identified, scored, and sequenced before a single recommendation is made.
Development costs, whether agency or freelance, are separate and not included. Percipient designs the architecture, specifies the requirements, manages the delivery, and holds it to the required standard. It does not write the code.
01
Conduct a full operational audit of your current e-commerce infrastructure and identify the highest-cost problems
02
Design a new information architecture: collection structure, navigation logic, product taxonomy, and buyer journey
03
Define and specify a product data structure that is clean, scalable, and usable across systems
04
Evaluate and recommend the right technology stack – PIM, CRM, ERP integration approach – based on your actual operational context
05
Build a phased transformation roadmap that sequences work by commercial impact and operational risk
06
Management or oversight of implementation, working with your development partner, agency, or internal team
07
Establish ongoing governance and process standards so the operation does not drift back into chaos
A full account of what is structurally wrong, why it matters commercially, and what to fix in what order.
Navigation, taxonomy, and collection logic designed for your catalogue and your buyers.
A clean, scalable data structure and metafield specification that works across your systems.
Platform and vendor recommendations based on your actual operational context, not on what is trending.
Work sequenced by commercial priority and operational risk, with clear milestones.
Active oversight throughout delivery to maintain quality and catch problems before they compound.
Operating standards and governance frameworks so the operation stays clean after the engagement ends.
01
E-commerce businesses whose infrastructure has not kept pace with their commercial ambition
02
Shopify or Shopify Plus operators managing large catalogues (1,000+ SKUs) without proper data architecture
03
B2B businesses where disconnected systems – ERP, CRM, PIM, and storefront – are creating daily operational drag
04
Companies that have invested in growth but whose back-end cannot support it
05
Businesses preparing a platform migration or major rebuild and needing strategic direction before development begins
Scoped per engagement. Price varies depending on scope and implementation complexity.
6-12 weeks. Timeline varies with scope and implementation complexity, confirmed after discovery phase.
A pre-engagement conversation to establish the scope and confirm fit. For larger or more complex operations, a discovery session may be recommended before a full proposal is issued.
Tell us about your store and what is not working. We will give you an honest initial assessment.