Emotion AI and eCommerce explained
April 22, 2023
74%
of APAC consumers use AI to discover, compare and learn about products
Visa Survey · February 202629 -> 76%
of APAC businesses deploying agentic AI today, rising to 76% within two years
Deloitte · State of AI in the Enterprise 202681%
of retail executives say brand loyalty is at risk for those who don't adapt
Retail Executive Survey · 2026Why traditional eCommerce can't keep up
70% of shopping carts are abandoned before checkout. Traditional e-commerce is reactive, but today's customers expect it to be proactive.
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.
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.
Personalisation fires after the fact
Recommendations appear after a click, based on what just happened — not what the customer actually needs. No proactive capability.
Support cost scales with revenue
Every new customer brings proportional WISMO calls, return requests, and complaints. No natural ceiling, because no autonomous resolution.
Which challenge are you solving?
Traditional e-commerce is reactive, but today's customers expect it to be proactive.
B2C Commerce
Grow consumer revenue & cut support cost
Five agents that discover, personalise, retain, and automate returns — for retailers and DTC brands serving APAC consumers.
B2B Commerce
Compress the B2B sales cycle
Six agents for quoting, guided selling, contract pricing, and reorder – built for the complexity that distributors and manufacturers actually face.
GEO Readiness
Get recommended before they arrive
Structured data, AI-answerable content, and real-time commerce signals – so AI engines recommend your products before a shopper reaches your site.B2C Commerce
B2B Commerce
GEO Readiness
B2C Commerce
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.
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
Outcome
- ↑ Conversion Rate
- ↑ Average Order Value
- ↑ Repeat Purchase Rate
- ↓ Support Cost per Contact
- ↓ Churn Rate
B2B Commerce
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
Agents apply the right contract price, volume tier, and customer-specific agreement automatically across every channel and order type.
Complex approval chains
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 without a sales rep on every call.
APAC regulatory & multi-currency complexity
Built with APAC compliance in mind — PII masking, data residency controls, and audit logging built in from day one.
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
Outcome
- ↓ Sales Cycle Length
- ↓ Account Management Cost
- ↑ Quote Conversion Rate
- ↑ Reorder Frequency
- ↑ Share of Wallet
GEO Readiness
GEO Readiness
Get recommended before they arrive
SEO gets you ranked. GEO gets you recommended.
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
Our agent-ready data prepares you for what comes next.
- 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
- 01
Structure the commerce foundation
- Enrich product titles, attributes, variants, and categories.
- Implement Product, Offer, Review, FAQ, and Shipping schema markup.
- 02
Create AI-answerable content
Build buying guides, FAQs, and comparison pages that answer natural-language questions. Add sizing, compatibility, and returns content.
- 03
Publish AI-ready product feeds
Optimise Google Merchant Center and prepare ChatGPT-ready feed mapping. Keep pricing, availability, and variants accurate and real-time.
- 04
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.
- 05
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
- 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
Discover & Prioritise
- 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
Build The GEO Foundation
- 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
Validate, Measure & Scale
Outcome
- AI understands your products
- Recommended in AI answers
- Retrievable by shopping agents
- GEO as ongoing capability
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 existing Adobe Commerce, OMS, CRM, and ERP stack – nothing is ripped out. Investments protected & 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.
SmartOSC is an Adobe Commerce partner with 1,000+ digital commerce deployments.
Our Data & AI capability underpins every agentic implementation.
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.
The 90-day pilot validates your specific numbers - with your data, your customers, your operation. Before you commit to scale, we prove the return with no guesswork.
Results that
speak for themselves
SmartOSC has delivered measurable outcomes for 1,000+ digital commerce projects across APAC and beyond.
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