Vegetable shelves, price labels and merchandise displays in a real supermarket; editorial industry illustration

Store Brain · Consumer Brand Building

FMCG & Retail

Connect consumer demand, product decisions and supply.

For retail chains, consumer brands and businesses running both channels and supply.

The connected value chain

Retail

One business event. Three ways to work.

One store · Replenishment & display

People connect each step

AI accelerates individual tasks

Shared evidence, coordinated decisions, continuous feedback

Business event

Store floor plan
Retains handoff evidence
Shelf plan
Participates in review
Item stock record
Participates in review
Store visit record
Participates in review
Customer needs & sales
Retains handoff evidence
Stockout & display review
Retains handoff evidence

COOL AI · Agent OSSame event

Store location / item stock / display rules

Stockout record · store & shelf position

Shared case evidence → coordinated options → confirmation → feedback

01Replenish locally: check available stock
02Transfer stock: check transport terms
03Alternative display: check items & space

Awaiting human confirmation · No automatic approval

01Change received
02Impact assembled
03Awaiting human confirmation
04Delivery feedback

Awaiting human confirmation

Merchandiser confirms supply

03Replenishment

Receives: Display changes & alternative positions
Produces: Replenishment & transfer options
Confirmed by: Merchandiser confirms supply

Traditional

Staff reports the stockout, merchandising checks stock and the manager coordinates replenishment and display.

Point AI

Recognition flags the empty shelf and recommendation suggests alternatives. The manager checks stock and coordinates.

AI Native · COOL AI

Store stock links shelves, replenishment and visit tasks. The manager confirms shelf work; sales feedback informs the next replenishment.

Arrivals, display rechecks and sales changes → store review → next stock & layout plan

Illustrative business scenario

FMCG & consumer brands

One business event. Three ways to work.

One product range · Marketing & supply

People connect each step

AI accelerates individual tasks

Shared evidence, coordinated decisions, continuous feedback

Business event

Consumer research brief
Retains handoff evidence
Packaging & launch conditions
Participates in review
Campaign assets & copy
Participates in review
Channel demand record
Participates in review
Supply plan
Retains handoff evidence
Sales & review report
Retains handoff evidence

COOL AI · Agent OSSame event

Product positioning / campaign demand / supply terms

Campaign feedback · revised channel demand

Shared case evidence → coordinated options → confirmation → feedback

01Match supply: adjust campaign timing
02Channel allocation: compare demand & stock
03Revise launch: check product readiness

Awaiting human confirmation · No automatic approval

01Change received
02Impact assembled
03Awaiting human confirmation
04Delivery feedback

Awaiting human confirmation

Brand lead confirms content

03Brand marketing

Receives: Range & launch changes
Produces: Content & campaign timing
Confirmed by: Brand lead confirms content

Campaign demand rises

Traditional

Marketing reports demand, channels check orders and supply replans stock.

Point AI

Summary, content and forecast tools return separate outputs. Teams reconcile marketing and supply terms.

AI Native · COOL AI

Campaign demand links products, channels and capacity. Brand and supply leads jointly confirm campaign timing and supply.

Sales, channel and consumer reviews → brand & supply review → next products & campaigns

Illustrative business scenario

Retail Store Brain

Store design, shelf management & merchandise management

Consumer Brand Building

Brand, marketing & sales-production coordination

Business scenarios

See every store. Keep merchandise on track.

Store operations & corrective work

Before

Fixed inspection schedules miss stock and display issues until too late.

Store visits follow fixed routes, not risk.
Corrections are sent by chat and rechecks are hard to track.

With COOL AI

Prioritize visits by risk; combine visual checks, POS and stock to detect exceptions, assign corrections and recheck.

Visits are ordered by stockouts, display issues and complaints.
Photos check display and price tags; issues become correction tasks.
Recheck results update store risk.

What you get

Risk-led visit checklist
Corrective tasks and recheck records

Link issues to stores, shelf locations and original records.

Risk-led visit listIllustration

Store: East store (illustration)
Risk: Dairy aisle out of stock two days
Check: Shelf photo, price tags, stock gap
Correction: Store manager fixes and rechecks

Growth marketing

Before

Content, media and coupons run separately, making campaign outcomes difficult to compare.

Content, scheduling and coupons sit with different teams.
Results are hard to read by store and SKU.

With COOL AI

Connect content review, scheduling, media and coupons; track sales and stock constraints by store, SKU and campaign.

Content is pre-checked against brand rules and aligned with stock.
Campaigns are tracked by store and SKU.

What you get

Campaign calendar and content list
Store/SKU campaign analysis

Check attribution definitions, offer rules and sellable inventory.

Campaign calendarIllustration

Theme: Weekend breakfast bundle (illustration)
Channels: Mini-program, store posters, member coupons
Stock limit: Bakery needs early replenishment
Track: Redemption by store and SKU

Sales assistance & customer service

Before

Customer answers and add-on suggestions depend on individual experience.

Staff recommend from memory; cross-sell is uneven.
Service questions repeat and follow-ups drop.

With COOL AI

Use merchandise, member needs and store stock to prepare cross-sell, checkout add-ons and service responses.

Pairings and talking points match needs and stock.
Service replies and follow-ups are organised.

What you get

Product suggestions and sales talking points
Service responses and follow-up list

Check product suitability, prices and service policies.

Sales talking pointsIllustration

Need: Gift, mid budget (illustration)
Suggest: Gift box A + card
Stock: 6 in this store
Script: Mention wrapping and returns policy

Staff learning & knowledge

Before

New-product and campaign training reaches staff inconsistently.

New products and policies need group training; stores vary.
Staff questions lack a consistent answer.

With COOL AI

Prepare role-based training, answers and assessment topics, using actual service issues to inform future learning.

Role-based training and Q&A are delivered.
Weak spots become improvement plans.

What you get

Role training and Q&A materials
Assessment priorities and improvement plan

Retain current versions, relevant roles and policy sources.

Role learning cardIllustration

Role: Cashier (illustration)
New: Member-points rule change
FAQ: Points redemption cap
Assessment: 3 scenario questions

Headquarters insight & workflow design

Before

Reports show outcomes but leave causes and follow-up unclear.

Weekly reports are stitched by hand; causes take days.
HQ assignments to stores are hard to track.

With COOL AI

Connect stores, merchandise, campaigns and work orders to explain changes and define follow-up responsibilities.

Sales changes link to weather, campaigns and stock.
HQ workflows and owners are explicit.

What you get

Trading-change and cause summary
Headquarters workflow and responsibilities

Check like-for-like definitions, time windows and exception records.

Trading-change summaryIllustration

Change: Beverage weekly sales down (illustration)
Likely cause: Cooler weather; two stores out of stock
Sources: POS, stock, weather
Owner: Category and area managers

Layout, shelves & merchandise

Before

Layout, displays and replenishment are reviewed separately, leaving slow and expiring stock.

Stockouts, expiry and slow movers are found separately and late.
Promotions ignore stock; best sellers run out.

With COOL AI

Connect store design, shelf displays and product performance to spot stockouts, expiry and slow movers and compare replenishment and transfers.

POS, stock, promotion and member data together give early warning.
Replenishment, transfer and display suggestions are given.

What you get

Stockout, expiry and slow-mover list
Replenishment, transfer and display suggestions

Check demand windows, expiry and transit times.

Merchandise alert listIllustration

Stockout: Yogurt A, 3 stores (illustration)
Expiry: Bread B, within 2 days
Slow: Condiment C, 4 slow weeks
Suggest: Replenish / transfer / end-cap change

Business scenarios

Know the consumer. Plan sales and supply as one.

Cross-border product research

Before

Before a coffee-concentrate launch abroad, market research and trial feedback are difficult to compare.

Overseas research is scattered and positioning is a guess.
Product-test feedback is slow to gather.

With COOL AI

Compare consumer needs, market requirements and trial feedback to prepare positioning and test-market options.

Competitors, reviews and channels become opportunities and positioning.
Test plans and feedback are summarised together.

What you get

Market opportunities and product positioning
Product-test plan and feedback summary

Retain research regions, samples and local-rule sources.

Product opportunity cardIllustration

Market: SE Asia liquid coffee (illustration)
Need: Low sugar, portable
Competitors: Main sizes and price bands
Test: Two flavours in small trial

Short-video creation & reuse

Before

Household, eyewear and apparel content is repeatedly recreated; assets and brand review are scattered.

Each short video starts from scratch; assets are not reused.
Brand reviews go back and forth.

With COOL AI

Organize assets, scripts and creative variations by product, audience and channel, reusing suitable material and planning review.

Scripts are drafted in batches by benefit and channel.
Assets are catalogued for reuse and pre-checked.

What you get

Scripts and content calendar
Asset-reuse and brand-review checklist

Check rights, brand language and channel specifications.

Content calendarIllustration

Benefit: Filter-change reminder (illustration)
Scripts: Three 15s versions
Reused: Two kitchen clips
Review: Brand wording and claims

Reputation, service & risk

Before

Public discussion and service complaints are handled separately, delaying product-risk signals.

Social, service and quality issues are handled separately.
Similar issues recur.

With COOL AI

Connect discussion, orders and service records to identify recurring issues and route risks to business owners.

Social posts and tickets are grouped by issue and trend.
Quality-related issues route to the right teams.

What you get

Issue trends and risk summary
Service responses and cross-team action list

Distinguish verified facts from leads still under investigation.

Risk summaryIllustration

Issue: Rising cap-leak complaints (illustration)
Sources: E-commerce reviews, tickets
Linked: Same production batch
Action: Quality check; consistent replies

Demand forecasts & inventory

Before

Dairy forecasts, replenishment and expiry handling are disconnected.

Forecasts use averages and miss promotions and seasons.
Near-expiry stock is found late.

With COOL AI

Use channel sales, inventory and shelf life to compare replenishment, transfers and expiry actions.

Demand uses sales, promotions and channel stock.
Replenishment, transfer and expiry plans come early.

What you get

Replenishment and transfer suggestions
Expiry-risk and action plan

Check forecast windows, batch expiry and transit time.

Replenishment & transferIllustration

Item: Chilled yogurt (illustration)
Forecast: East region demand up next week
Expiry: One North batch within 10 days
Suggest: Transfer to nearby stores

Personalized community service

Before

Skincare membership services struggle to balance individual needs with consistent standards.

Community messages are generic though needs differ.
Follow-up depends on individuals.

With COOL AI

Use member preferences, product information and service history to prepare personalized suggestions and follow-up.

Suggestions follow skin type and purchases.
Follow-ups are listed automatically.

What you get

Personalized service suggestions
Follow-up and issue list

Check consent scope, product suitability and service policy.

Service suggestionIllustration

Profile: Dry skin, season change (illustration)
Suggest: Serum routine
Note: Avoid combining with acids
Follow-up: Check in after two weeks

Commerce marketing & integrated planning

Before

Campaigns, sales forecasts and production plans use different goals.

Marketing, sales and supply each have their own targets.
Stock gaps appear just before big sales.

With COOL AI

Bring campaigns, demand and supply into one plan, comparing sales opportunities against stock and capacity constraints.

Three plans are compared in one view.
Gaps and risks are listed early with shared targets.

What you get

Marketing, sales and supply plan
Shared targets and business insight

Check forecast versions, stock limits and delivery conditions.

Integrated planIllustration

Campaign: Three hero SKUs for mid-year sale (illustration)
Volume: About twice normal
Supply gap: Packaging must be bought early
Shared target: Weekly alignment

Search content & brand communities

Before

Search content, video assets and community content use inconsistent versions.

Brand info in search and AI answers is scattered or outdated.
Community and video assets are unmanaged.

With COOL AI

Organize product facts, content sources and video assets for search and brand communities.

Authoritative product info becomes a search-content list.
Video assets are catalogued for community reuse.

What you get

Search content and GEO checklist
Community content and asset catalogue

Check sources, rights and cross-channel consistency.

Search-content checklistIllustration

Question: Model service interval (illustration)
Source: Official service manual
Update: Two outdated pages
Assets: Three service videos

Online selection & store services

Before

Online home-furnishing selection is disconnected from store stock, experiences and service.

Customers choose online, then find no stock in store.
Online and store services are separate.

With COOL AI

Connect product specifications, online preferences and store conditions to prepare product combinations and in-store service.

Combinations match space and needs, only in-stock items.
Online selection connects to store service.

What you get

Selection combinations and available products
Online-to-store service plan

Check availability, dimensions and service regions.

Selection combinationIllustration

Space: Small study (illustration)
Combination: Desk, chair, storage
Stock: Available at nearest store
Service: Book visit and delivery

Start with your business question.

See every store. Act on what matters.