PORTFOLIO · CASE STUDY
Live in production
2026 · RETAIL OPS · INDEPENDENT GROCERY · CASE STUDY
Competitor Watch
All-in-one dashboard for market deals, sales pulse, and retention for independent grocers
Weekly ad scan · Store KPIs · WhatsApp retention · Demand ranges
Note: first load can take about 60 seconds.
ROLE
Product design · UX/IA · Full-stack
STACK
React · Python · shadcn/ui
SHIPPED
2 weeks · MVP → production
COMPETITOR SCAN · THIS WEEK
Live
Store
Chicken
Ground beef
vs market
Your store
$2.49/lb
$4.99/lb
Up 12%
Chain B
$2.79/lb
$5.19/lb
Down 3%
Chain C
$2.59/lb
$4.89/lb
Up 7%
140+ ads indexed · 18 retailers · Updated Thu 8am
7+
Markets tracked
140+
Live ads indexed
5
Dashboard sections
2 wk
MVP → production
SECTION 01 — STORE PULSE
Today’s numbers, at a glance
Owner-gated
Last 7 days
$53,880
Up 8%
Orders (7d)
1,624
Up 12%
Avg Basket
$33.15
Down 1%
Active Shoppers
843
Up 31%
Top basket categories this week
by revenue share
Meat & Seafood
38%
Produce
24%
Dairy
18%
Beverages
12%
Snacks
8%
Store Pulse unifies revenue, basket, and promo performance a typical back-office never surfaces.
THE BRIEF
The gap independent grocers couldn’t close — until now
The problem
The solution
01
Invisible competition
Ads change every Thursday; without tooling, owners miss the window before the weekend rush.
02
No weather playbook
Rain, heat, and holidays shift demand with no system to turn forecasts into action.
03
Siloed sales data
Exports and back-office reports only; no unified revenue, basket, or promo view.
04
Zero retention view
82% came once and never returned; no CRM, no segments, no proof an offer worked.
SECTION 02–04 — KEY FEATURES
Four modules, one operational picture.
01
Store Pulse
KPIs, weekly changes, and basket analysis in one dashboard.
Data coverage
92%
KPIs
Weekly changes
Basket analysis
02
Live Competitor Deals
ZIP-based weekly deal tracking across mainstream chains and international grocers.
Ad sync rate
87%
ZIP-based
140+ ads
18 retailers
03
Weather Playbook
Forecasts become plain-language weekend actions and category demand ranges.
Forecast accuracy
78%
3-day view
Category signals
Demand ranges
04
Trade Area & Retention
Lapse segments, ZIP mapping, WhatsApp reach, and 7-day visit matching.
Retention modeled
71%
Lapse segments
ZIP map
WhatsApp CRM
The retention loop: from blind coupon to attributed engagement.
Segment → WhatsApp reach → 7-day visit match → measure.
01
Segment
Behavioral groups from sales history.
02
Reach out
WhatsApp-first, timed for weekday vs weekend.
03
Attribute
Match POS visits within 7 days.
04
Measure
Identity-tied points instead of a nameless discount.
WHATSAPP · THIS WEEK (SAMPLE)
1,240
Sent
899
Read
214
Visits matched
13.3%
Match rate
Campaign
Segment
Matched visits
Weekend return
Lapsed 60d+
214
Recommendation
ATTACH
Attach a weather-aware WhatsApp offer to the lapsed segment, then match visits inside seven days before expanding the campaign.
DECISIONS
Three product calls that shaped the system.
WhatsApp-first CRM
WhatsApp isn’t just outreach it’s the future storefront: catalogue-driven merchandising.
Forecasts as ranges
Operators ignored single numbers; bands got used.
Deferred loyalty
Instant coupons couldn’t be measured; points require a return visit.
Forecast range
Projected $8,420
Range $7,890
$8,950
RETROSPECTIVE
What I’d carry forward
Shipping beat polishing. Design from the operator’s reality — channel, margin, and trust in the numbers.
Built a tool a real store runs on.
I’m looking to do the same for product teams — design and build, end to end.