ExampleDigital ProductHi-Tech

Industry Solution — Hi-Tech Commerce

From product complexity to a guided digital buying experience

A hi-tech manufacturer sells configurable networking, edge-computing and support products through direct and channel routes. ASE turns configuration rules, commercial policies and integration constraints into a production-ready commerce experience.

Example project. The company, systems and figures are made up.

The situation

Most orders still require an assisted quote because compatibility and entitlement rules live in spreadsheets and expert heads. Regional catalogs diverge, account-specific pricing is applied manually, and partners work in a separate process from direct buyers.

The request

Enable customers and partners to discover, configure, price and buy compatible technology solutions online while preserving account rules and human help for genuine exceptions.

Systems involved

  • 18,000 active SKUs
  • Hardware, software licenses and support services
  • Compatibility and bundle rules
  • Regional catalogs
  • Account-specific pricing
  • Direct and channel experiences
  • Salesforce
  • SAP
  • Product information management
  • Multiple inventory feeds

How it runs

Step by step

What ASE does at each stage and who approves it.

Discover

Inputs

  • Catalog exports and product hierarchy
  • Compatibility and bundle rules
  • Pricing policy, customer segments and quote history
  • Storefront analytics

Agent activity

  • Analyze catalog, hierarchy, compatibility rules and pricing
  • Reconstruct buyer journeys from analytics and quote processes
  • Build a product ontology, rule inventory and conversion-friction map

Human authority

Product and sales operations confirm the pilot product family and rule sources.

Approval criteria: Pilot family, rule sources and channel scope confirmed.

Outputs

  • Buyer journeys
  • Product ontology
  • Rule inventory
  • Conversion-friction map

Traceability created

  • Each rule links to its source sheet or system of record

Hand-off: Ontology and friction map scope the journey requirements.

Output

What ASE produced

Sample outputs from this project. All data is made up.

Buyer journey

Reconstructed direct and channel buying paths with friction points.

  • DISCOVER → CONFIGURE → VALIDATE COMPATIBILITY → PRICE → AVAILABILITY → QUOTE → CHECKOUT
  • direct cohort: 7 steps · channel cohort: 9 steps (adds partner entitlement, deal reg)
  • friction: compatibility uncertainty at step 3 (synthetic analytics)
  • friction: account pricing requires assisted quote at step 4

Approvals

Where people decide

  • Define

    Approve journeys and commercial rules

    Approved by: Product, sales operations and channel leadership

  • Validate

    Approve configuration, pricing and checkout evidence

    Approved by: Commercial and product owners

  • Deploy

    Authorize the controlled buyer cohort

    Approved by: Commercial owner

Solution

What got built

Target architecture

  • EXPERIENCE product discovery · guided configurator · quote · checkout · partner workspace
  • SERVICES compatibility · account pricing · availability · entitlement · analytics
  • DOMAIN product ontology · configuration model · commercial rule set
  • INTEGRATION Salesforce · SAP · PIM · inventory feeds · tax and payment
  • GOVERNANCE pricing authority · channel entitlement · rule change approval

How it traces back

  • Commercial policy → journey step → story CMS-084 → rule CFG-118 → TC-HTC-402 → cohort release

Targets

What a pilot would test

Goals to prove in a pilot, not client results.

  • Orders requiring assisted quoting

    Illustrative baseline 55%

    Modeled pilot target 35–40%

    Potential outcome to validate

  • Configuration-related cart failures

    Illustrative baseline 12%

    Modeled pilot target 5–7%

    Potential outcome to validate

  • Time to introduce a product-family journey

    Illustrative baseline 10–14 weeks

    Modeled pilot target 4–7 weeks

    Target range depends on system and process complexity

  • Commercial-rule traceability

    Modeled pilot target 100% for the pilot product family

    Target range depends on system and process complexity

Starting points are made up. Real results depend on your systems and processes.

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Bring one complex product family. Build its digital buying journey.

In a guided build, we run your own project through the same steps, with your systems and approval rules.