ThailandRetail / convenience & O2OScale · $100K
CP All (7-Eleven Thailand)

14,000 stores within walking distance of Thailand; now put service within one message of every All Member

Give CP All an agentic layer across 7-Delivery order resolution, All Member loyalty service, and store/franchisee support — converting Thailand's densest retail network into its most responsive one.

Entry use case
7-Delivery order exception resolution
Expected outcome
One proactive thread per delivery incident instead of 3-4 inbound contacts, with refund/redelivery executed in-channel
Recommended next step
Size the 7-Delivery exception-contact volume with the O2O team and scope a proactive-resolution pilot in Bangkok stores.
What we understand

CP All (7-Eleven Thailand)'s operating reality

CP All operates the 7-Eleven franchise in Thailand with more than 14,000 stores, one of the world's largest single-country convenience networks, plus the All Member loyalty program with tens of millions of members.

Public fact

CP All has aggressively grown O2O: 7-Delivery and the 7-Eleven app bring on-demand convenience delivery to a large share of stores; CP All also controls CP Axtra (Makro, Lotus's).

Public fact

On-demand delivery from thousands of micro-fulfillment points generates order-exception volume (out-of-stock swaps, late riders, wrong items) that store staff are not staffed to resolve by phone.

Reasoned inference

All Member point disputes and redemption confusion are likely a top loyalty-support driver at this membership scale.

Reasoned inference

Franchisee/store-manager support (equipment, ordering, promotions) is an internal contact-center load that an employee-desk agent could absorb.

Seller hypothesis — validate

Validate with the account team before outreach: OMS and rider-platform API readiness for exception detection · Actual exception rate per 1,000 O2O orders · Whether store/franchisee support is centralized enough to automate

Build vs buy

Why we have a right to win here

Buy-led target

Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution

Evidence: CP All is a world-class retail operator, not a software company: group IT (Gosoft) runs systems competently but does not build AI platforms. Its pattern is buying proven tools and scaling them ruthlessly across 14,000+ stores — exactly the adoption profile a packaged agentic platform wants.

Why they won't build the full stack: Convenience-retail margins cannot fund platform engineering, and the O2O race with delivery platforms rewards speed. CP All's edge is operational rollout discipline, which it should spend on deployment, not development.

What management is signalling

Publicly committed store-expansion program on the order of 700 new 7-Eleven stores per year, alongside continued O2O growth targets.

Reported factFY2024 annual report · 2025

GTM implication: Support volume scales with store count and O2O mix — position automation as the only service model whose unit cost falls as the network expands.

What already exists (don't pitch this)
  • 7-Eleven app with All Member loyalty at tens of millions of members
  • 7-Delivery O2O infrastructure
  • Central hotline and LINE Official Account
  • Store-network ops systems via group IT
What customers still can't do end-to-end (pitch this)
  • →Proactive delivery-exception messaging with in-channel refunds
  • →Loyalty point disputes grounded in POS transaction history
  • →Cross-channel context between app, store, and hotline
  • →Automated franchisee/store helpdesk with entitlement awareness
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
7-Delivery order exceptions
Proactive exception messaging, substitution consent captured conversationally, refund or redelivery executed in-channel.
O2O growth is strategic; every failed delivery burns both margin and app-adoption momentum.
Friction today: Store staff juggle rider issues and customer calls; customers bounce between app, store, and hotline.
7-Eleven appLINEVoice
All Member loyalty service
Instant grounded answers on points, missing-point claims resolved with transaction lookup, personalized redemption guidance.
The loyalty base is CP All's data asset; point friction directly suppresses engagement and basket data.
Friction today: Point disputes require hotline queues; redemption rules confuse at shelf-edge.
LINEApp chatVoice
Store & franchisee helpdesk
Store-recognized support with entitlement-aware answers, maintenance dispatch, and promo-setup guidance.
14,000 stores calling central support about equipment, ordering, and promo setup is a giant hidden contact center.
Friction today: Store managers wait in the same queues as consumers or escalate through area managers.
LINEVoice
Watch the change

7-Delivery order exception resolution: today vs the agentic model

Scenario: A 7-Delivery order is missing an item; the customer gets a proactive LINE message with substitution options, picks one, and the refund difference lands before the rider returns.
Today
same interaction, two worlds
Agentic layer
Contacts per delivery incident
3–4 across channels
1 proactive thread
Platform capability
Cart abandonment context
~70% average
recoverable via consent-based outreach
Benchmark
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · Contacts per delivery incident: Process design: exception detected before contact
  • · Cart abandonment context: Baymard Institute meta-analysis
  • · Cost per contact: Gartner customer service cost benchmarks, 2024
  • · QA coverage: Platform capability: every interaction logged and evaluated
  • · Gartner, customer service cost benchmarks (2024): $13.50 median assisted vs $1.84 self-service per contact
  • · McKinsey, digital-first collections research: 20–25% NPL reduction among leaders; up to 40% opex reduction with gen AI
  • · Baymard Institute: ~70% average cart abandonment (meta-analysis)
  • · IAMAI–Kantar via IBEF (2025): 900M+ Indian internet users; 98% consume Indic-language content
  • · LeadSquared and vendor funnel studies: 78% of students choose the first institution to respond (directional, vendor data)
  • · HDI / ITSM operator benchmarks: $15–25 per L1 ticket; 40–60% of L1 volume is resets/status (validate per customer)
  • · Conventional-flow wait times and volumes are typical operator patterns — assumptions to replace with the customer's own baseline
  • · Agentic-flow behaviors (context retention, 100% logging, in-line policy checks) are platform capabilities, not projections
Recommended solution

One integrated stack, opinionated for this account

Channels · Tilicho Labs
7-Eleven appLINEVoiceApp chat

Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.

Intelligence · Google Cloud
Gemini reasoningEnterprise groundingWorkflow agentsMulti-agent orchestrationGoverned actionsEvaluation & analytics
Systems · CP All (7-Eleven Thailand)
OMSRider/last-mile platformPaymentsLoyalty platformPOS transaction storeStore ops systemsTicketingField service

API access to these systems is the critical-path dependency.

Trust & languages
ThaiEnglish

Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.

Business case

The economics, with your numbers

Addressable monthly interactions2.5M
Seller assumption — replace in discovery
Current cost per interaction ($)$0.7
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$1.8M
Current operating cost / mo
$5.8M
Modelled gross benefit / yr
0.2 mo
Payback on Scale
99%
3-yr ROI (modelled)
Automated/assisted interactions per month1.4M
Modelled AI run-cost per month (usage + cloud, system estimate)$481K
New monthly operating cost$1.3M

All figures are modelling estimates from the labeled inputs above — nothing here is customer-provided yet. The pilot's first job is replacing these assumptions with CP All (7-Eleven Thailand)'s measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Scale — $100K implementation

Scale · $100K · A multi-channel production deployment10–14 weeks to production across priority workflows

Why this package for CP All (7-Eleven Thailand): O2O order flows, loyalty servicing, and store-network support cross multiple systems and channels; the volume justifies a multi-workflow deployment from the start.

Included
  • 4–6 channels
  • 2–3 priority workflows
  • Multiple enterprise integrations
  • API credential & security setup
  • Advanced orchestration
  • Multilingual support
  • Agent Assist / human escalation
  • Production analytics
  • Expansion roadmap
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Enterprise-wide governance build-out
  • ✕Multi-BU rollout
Recurring costs (separate from the package)

Packages cover implementation and integration only. Recurring costs are billed separately: Tilicho Labs platform usage (~$0.15/call-min indicative, usage only), Google Cloud consumption, telephony/carrier charges, managed operations, and support & optimization. No package includes unlimited usage.

Customer resources required
  • · API access + credentials for: OMS, Rider/last-mile platform, Payments
  • · A named business owner for 7-delivery order exception resolution
  • · Security review counterpart and policy sign-off (OMS scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“CP All's moat is proximity — physical and now digital. An agentic service layer makes the O2O experience as reliable as the store experience, which is what decides whether 7-Delivery becomes habit.”

CIO / CTO

“One conversation platform grounded in OMS, loyalty, and store systems — replacing a patchwork of hotline scripts and app FAQs with governed, auditable agents.”

COO

“Order exceptions stop landing on store staff. Stores focus on fulfillment; the agent handles the customer conversation and only escalates true judgment calls.”

Head of O2O / Digital (7-Delivery)

“Every delivery incident becomes one proactive thread instead of three inbound complaints — and exception patterns feed back to fix assortment and rider allocation upstream.”

Chief Risk / Compliance Officer

“Thai PDPA consent for proactive messaging and full interaction logs come standard — loyalty-data use stays inside declared purposes with an audit trail.”

CFO / Procurement

“At convenience-retail margins, human-handled delivery exceptions are uneconomic. This moves resolution to a cost point that scales with O2O growth instead of against it.”

Outreach

Pre-built offer emails for CP All (7-Eleven Thailand)

Written from this account's own research — the strategic signal, the capability gap, the entry workflow, and the modelled economics — not a mail-merge template. Pick the moment and the persona, edit anything, then copy or open in your mail client.

Moment in the deal
Cold outreach — no prior conversation
Who it's addressed to
Cares about: The workflow itself and its daily failure modes
Register
Length
Draft — edit freely before sending
Open in mail client

Customer-safe by construction: drafts are composed only from customer-facing fields. Account tier, build-vs-buy classification, priority score, internal routing, and partner-commercial detail are not inputs to the composer, so they cannot appear in a draft. Money figures are always framed as modelled from the customer's own volumes. Read before sending — you own what goes out.

The pursuit

Tier 1 — immediate strategic pursuit

Why this tier

Operator of 14,000+ 7-Eleven stores with the All Member loyalty base and fast-growing 7-Delivery O2O volume — a nationwide physical network whose delivery, loyalty, and franchisee support conversations are all scaling faster than staffed capacity.

30 / 60 / 90-day plan
  • Day 0–30: Size the 7-Delivery exception-contact volume with the O2O team and scope a proactive-resolution pilot in Bangkok stores.; confirm sponsor and baseline data access; validate: OMS and rider-platform API readiness for exception detection
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on 7-Eleven app + LINE; pilot scope signed
  • Day 61–90: Scale package kickoff; 7-delivery order exception resolution pilot in build; success thresholds locked with the Head of O2O / Digital (7-Delivery)
Recommended next step

Size the 7-Delivery exception-contact volume with the O2O team and scope a proactive-resolution pilot in Bangkok stores.

Entry: 7-Delivery order exception resolution · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.

Start the pursuit

Research-based priority-account universe assembled from public information, market scale, communication volume, and solution fit. This is NOT an authoritative list of top Google Cloud customers; existing Google Cloud relationships are noted only where publicly reported. Validate every account with the account team before outreach.