Agentic Commerce · SmartOSC

The Agentic Era
of Commerce Is Here.
Is your business
ready to lead it?

AI agents that discover, sell, quote, fulfil, and retain — autonomously. SmartOSC designs and deploys agentic commerce for retailers, distributors, and brands across APAC and beyond.

Talk to Our Experts → Explore the Agents ↓
74%
of APAC consumers use AI to discover, compare and learn about products
Visa Survey · February 2026
29→76%
of APAC businesses deploying agentic AI today, rising to 76% within two years
Deloitte · State of AI in the Enterprise 2026
81%
of retail executives say brand loyalty is at risk for those who don't adapt
Retail Executive Survey · 2026
What it means

Agentic commerce isn't smarter software.
It's software that acts.

One agent layer. Two value streams: grow revenue on the customer side, protect margin on the operations side.

Agentic Commerce Cycle AGENTIC COMMERCE 01 Perceive 03 Act 04 Learn 02 Decide Reads signals in real time Browsing, inventory, orders, pricing Executes across systems Within guardrails you define Reasons toward a goal Not rule-matching — reasoning Improves with every loop Compounds over time
The cost of standing still

Why traditional eCommerce
can't keep up

70% of carts are abandoned before checkout — a figure barely moved in a decade. Traditional eCommerce reacts. Your customers now expect it to anticipate.

01
Discovery waits for the customer
Your search box only works if shoppers already know what they want. When they don't, the platform can't interpret intent or guide them forward.
A platform that can't understand intent can't close the gap.
02
Operations wait for humans
When an order is delayed or flagged, the system records it. Someone has to find it, triage it, and decide what to do. The customer already knows.
A platform that logs exceptions but doesn't resolve them puts your team in catch-up mode.
03
Personalisation fires after the fact
Recommendations appear after a click, based on what just happened — not what the customer actually needs. No proactive capability.
A platform that only responds can never get ahead of the customer.
04
Support cost scales with revenue
Every new customer brings proportional WISMO calls, return requests, and complaints. No natural ceiling, because no autonomous resolution.
A platform that can't act without a human can't scale efficiently.
👤
You lose the customer before they arrive
Shoppers form preferences and shortlists via AI before reaching your storefront. If you don't appear in that moment, a competitor's will.
📈
You lose the position hardest to recover
Agentic systems learn from every interaction. Retailers who move now are building a compounding intelligence advantage — 18–24 months ahead.
🛒
You lose the sale you almost had
Customers compare you in real time against retailers whose agents personalise instantly. The gap shows quietly in conversion, abandonment, and AOV.
Three ways we help

Which challenge
are you solving?

Start Your 90-Day Pilot →
B2C Commerce

Five agents growing revenue
and reducing support cost

Purpose-built agents working 24/7 — turning browsing into buying, and buyers into loyal customers.

Agent 01
AI Shopping Assistant & Discovery
Understands shopper intent in natural language. Surfaces the right product instantly — even with vague or conversational queries — across web, app, and chat.
  • Reduces search abandonment
  • Lifts browse-to-cart conversion
  • Works across web, app & chat
Agent 02
Personalised Promotions & Dynamic Offers
Monitors real-time signals — cart value, browsing history, stock levels — and fires the right offer at the right moment. No blanket discounting.
  • Increases average order value
  • Reduces promo cannibalisation
  • Recovers abandoned carts
Agent 03
Conversational Support & WISMO
Resolves "Where is my order?" instantly, handles delivery exceptions proactively, and manages complaints — 24/7, zero wait time.
  • Deflects high-volume tickets
  • 24/7 resolution at scale
  • Reduces cost per contact
Agent 04
Returns & Exchanges Agent
Automates the full returns journey — eligibility check, label generation, refund processing — and nudges exchange over refund wherever possible.
  • Faster resolution = higher re-purchase
  • Reduces returns handling cost
  • Nudges exchange over refund
Agent 05
Loyalty & Retention Agent
Monitors churn signals and lapsed patterns — then reaches out proactively with personalised win-back campaigns before the customer is truly lost.
  • Detects churn risk early
  • Personalised win-back campaigns
  • Grows loyalty programme engagement
Shopper: "Show me a waterproof jacket under $150 for hiking in cold weather"
→ Intent understood: waterproof, hiking, cold weather, budget $150
→ Inventory filtered: 3 matching products surfaced from 12,400 SKUs
→ Bundle suggested: jacket + base layer, contextually relevant
→ Cart updated in one conversational turn — no search box required
Business impact ↑ Conversion Rate ↑ Average Order Value ↓ Support Cost per Contact ↑ Repeat Purchase Rate ↓ Churn Rate
B2B Commerce

Six agents compressing
the B2B sales cycle

Designed for the complexity of custom pricing, approval chains, and relationship-based selling that generic AI tools break on.

Custom pricing per customer — not one-size-fits-all

Agents apply the right contract price, volume tier, and customer-specific agreement automatically across every channel and order type.

Complex approval chains — not instant checkout

Agents route quotes through correct approval workflows, escalating only what genuinely needs a human decision.

100K+ technical SKUs with deep specs

Guided selling agents walk buyers through complex selection — dependencies, compatibility, volume tiers — without a sales rep on every call.

APAC regulatory and multi-currency complexity

Built with APAC compliance in mind — PII masking, data residency controls, and audit logging built in from day one.

Agent 01
Guided Selling & Configuration
Walks buyers through complex product selection without a sales rep on every call.
  • Shortens sales cycle on complex SKUs
  • Reduces mis-configuration errors
  • Scales without adding headcount
Agent 02
AI Quote & Negotiation Agent
Generates and negotiates quotes autonomously within pre-approved guardrails — turning days into minutes.
  • Quote turnaround: days to minutes
  • Consistent margin discipline
  • Escalates edge cases to humans
Agent 03
Self-Serve Reorder & Account Management
Buyers reorder against standing agreements, check account status, and manage approvals — without contacting your team.
  • Increases reorder frequency
  • Reduces inbound account queries
  • Higher buyer satisfaction
Agent 04
Contract-Aware Pricing Agent
Applies the right price automatically — contract tiers, volume breaks, customer-specific agreements — across every channel, every time.
  • Eliminates manual pricing errors
  • Enforces margin rules automatically
  • Consistent pricing across all channels
Agent 05
Procurement Assistant for Buyers
Sits on the buyer's side — spend tracking, approval workflows, order consolidation. Embeds your brand in their daily workflow.
  • Increases share of wallet
  • Reduces buyer effort
  • Embeds your brand in buyer workflows
Agent 06
Shipment & Delivery Tracking Agent
Proactively monitors B2B shipments — flags delays, notifies buyers before they chase, surfaces ETA changes affecting production planning.
  • Proactive delay notification
  • Reduces inbound WISMO calls
  • Supports buyer production planning
Buyer submits RFQ: 2,400 units across 3 product lines
→ Contract retrieved: customer-specific pricing tiers applied automatically
→ Quote generated: within 4 minutes — no manual lookup
→ Margin check passed: within thresholds, no escalation needed
→ Buyer approves: order created in ERP automatically
Business impact ↓ Sales Cycle Length ↑ Quote Conversion Rate ↑ Reorder Frequency ↑ Share of Wallet ↓ Account Management Cost
GEO Readiness

Get recommended
before they arrive

SEO gets you ranked.
GEO gets you recommended.
Agent-ready data prepares you for what comes next.

The new discovery reality

74% of APAC consumers use AI to discover and compare products before purchase. By the time they reach your site, AI may have already shaped their shortlist.

The risk is not lower rankings — it's that your products are absent from the consideration set entirely.

How AI evaluates your products

  • →Product attributes, use cases, and compatibility
  • →Price, stock, delivery, and returns information
  • →Reviews, ratings, and brand trust signals
  • →Content clarity and policy completeness

Five steps to AI discoverability

1

Structure the commerce foundation

Enrich product titles, attributes, variants, and categories. Implement Product, Offer, Review, FAQ, and Shipping schema markup.

2

Create AI-answerable content

Build buying guides, FAQs, and comparison pages that answer natural-language questions. Add sizing, compatibility, and returns content.

3

Publish AI-ready product feeds

Optimise Google Merchant Center and prepare ChatGPT-ready feed mapping. Keep pricing, availability, and variants accurate and real-time.

4

Connect real-time commerce signals

Expose inventory, pricing, promotions, and delivery ETA via API — so AI can retrieve live, accurate data at the moment of comparison.

5

Govern, measure, and continuously optimise

Monitor brand mentions, answer accuracy, and referral quality. Build GEO as an ongoing capability, not a one-time clean-up.

The 12-week GEO Readiness Programme

Phase 1
Discover & Prioritise
Weeks 1–2
  • Align goals, priority categories, and AI discovery channels
  • Audit GEO readiness across content, product data, and structured data
  • Baseline AI visibility, organic traffic, and data quality metrics
  • Finalise the prioritised backlog and success KPIs
Phase 2
Build the GEO Foundation
Weeks 3–8
  • Enrich product data: attributes, variants, and feed quality
  • Improve content for AI interpretation: FAQs, buying guides
  • Implement structured data across Product, Offer, Review schemas
  • Fix crawlability, rendering, and mobile UX issues
Phase 3
Validate, Measure & Scale
Weeks 8–12
  • Test across Google AI, Gemini, ChatGPT, Perplexity
  • Compare brand visibility, answer accuracy, and competitors
  • Build the GEO dashboard for ongoing tracking
  • Complete governance handover and next-phase roadmap
Outcome AI understands your products Recommended in AI answers Retrievable by shopping agents GEO as ongoing capability
Architecture

How SmartOSC deploys this

No platform replacement. No vendor lock-in. The agent layer sits on top of your existing stack — protecting prior investments while unlocking new capabilities.

🔒
No platform replacement
Agent layer sits on your existing Adobe Commerce, OMS, CRM, and ERP stack. Nothing is ripped out. Investments protected and extended.
⚡
Model-agnostic by design
Swap or mix Claude, GPT-4o, Gemini without re-architecting. Never locked into a single AI vendor as the market evolves.
🌏
APAC compliance-ready
Governance, PII masking, audit logging, and data residency controls built into every layer from day one.
CUSTOMER TOUCH POINTS Web & Mobile B2B Portal Chat & Messaging Email & SMS Marketplaces AGENTIC INTELLIGENCE LAYER Shopping Agent Discovery · Recs Sales Agent Quote · Negotiate Order Mgmt Agent Exceptions · Notify CX Agent WISMO · Returns Merch Agent Repricing · Replenish Multi-agent coordination Task planning · Memory · Context DATA & KNOWLEDGE LAYER Customer CDP Product Catalogue Order History Inventory Pricing Vector Store (RAG) FOUNDATION AI MODELS — MODEL-AGNOSTIC Claude GPT-4o Gemini Embedding & Search Vision Forecasting SYSTEMS OF RECORD — YOUR EXISTING STACK, UNCHANGED Adobe Commerce OMS / WMS CRM / ERP Helpdesk

SmartOSC is an Adobe Commerce partner with 1,000+ digital commerce deployments. Our Data & AI capability underpins every agentic implementation.

Business Case

Two sides of
the return

Every engagement is designed to deliver measurable impact on both sides of the P&L. The 90-day pilot is how we establish your specific numbers before you commit to scale.

↑ Revenue Growth Conversion & Discovery Browse-to-purchase lift, particularly mobile Average Order Value Personalised bundling & contextual upsell Retention & Repeat Purchase Early churn detection, proactive re-engagement Support-to-Sale Conversion Context-aware support that sells ↓ Cost Reduction Operations Efficiency Autonomous exception handling, fewer credits Support Cost per Contact High-volume queries handled autonomously Inventory & Merchandising Reduce overstock, minimise stockouts Returns Processing Automated handling, nudges exchange over refund P&L The 90-day pilot validates your specific numbers — with your data, your customers, your operation. Before you commit to scale, we prove the return. No guesswork. → Talk to Our Experts to scope your pilot
Client Results

Results that
speak for themselves

SmartOSC has delivered measurable outcomes for 1,000+ digital commerce projects across APAC and beyond.

Leading Hypermarket · Thailand
85%reduction in issue resolution time
70%reduction in data discrepancies
55%productivity boost
→ Ops & order exception agents
Global Shoe Supplier · APAC
25%increase in add-to-cart rate
20%boost in checkout completion
35%improvement in campaign ROI
→ Shopping assistant & promotions agents
Top Loyalty Platform · Vietnam
85%model accuracy identifying churn risk
33%retention campaign effectiveness
25%improvement in retention ROI
→ Loyalty & retention agent
Explore our full credentials library → smartosc.com/credentials
Start Here

90-day pilot
to production

A low-risk entry point to validate your highest-impact use case and prove ROI with real data.

⏱

With APAC agentic AI adoption set to jump from 29% to 76% in two years, the window to build a first-mover advantage is measured in months, not years. The pilot validates your specific business case — with your data, your customers, your operation — before you commit to scale.

Phase 1
Commerce Readiness Assessment
2 weeks
  • Align on business priorities — revenue growth, ops efficiency, or both
  • Audit GEO, PIM, and integration readiness across your stack
  • Assess governance and compliance posture for APAC requirements
  • Identify and rank the highest-impact agent use case
Phase 2
Pilot Design & Build
Weeks 2–8
  • Define agent scope, workflow, and success KPIs
  • Design workflows with human-in-the-loop controls and escalation paths
  • Integrate with Adobe Commerce, OMS, and helpdesk via APIs
  • Build and validate the MVP agent in a sandboxed environment
Phase 3
Pilot Run & Scale Recommendation
Weeks 6–12
  • Go live with real customers in a controlled segment
  • Track KPI impact: conversion uplift, WISMO deflection, exception resolution
  • Monitor agent behaviour, trust, and safety metrics continuously
  • Deliver full scale roadmap and hardened investment case

Your competitors are already automating. Let's make sure you're ahead of them.

Talk to our agentic commerce team — no commitment required.

Talk to Our Experts →
Digital Commerce Data & AI Client Credentials