deck

2. Pitch Deck (15 slides)

Slide 1 - Cover (LAVisions layout)layout: title_hero · 16:9
Your Market, Made Clear.
Slide 2 - Problem (LAVisions layout)layout: problem_split · 16:9
the problem
Nobody knows what sells in Saudi Arabia's corner shops
01
Most of the market is unmeasured
Saudi Arabia's general trade runs on an estimated 200,000-plus independent baqala shops, the large majority of the country's grocery outlets. Modern trade is tracked shelf by shelf. General trade, which still moves nearly half of FMCG by value, is measured by a guess.
02
Modern trade is wired, general trade is dark
Panda and Carrefour run on clean point-of-sale data. The corner shop has no sales feed, no shelf-share data, no feedback loop.
03
Too expensive to measure, until now
NielsenIQ relies on a representative national sample projected to the rest, so it has no district-level detail. Until now, measuring the channel cost more than the data was worth.
200,000+
independent stores measured by a guess
independent GT shops, est.
Slide 3 - Solution (LAVisions layout)layout: solution_image_left · 16:9
the solution
Shine a light on the half of retail nobody is measuring
Phones and modern AI dropped the cost of measuring general trade below the value of the data. ShamsVision turns a shelf photo into a structured data row in under 24 hours.
Slide 4 - Product (LAVisions layout)layout: product_split · 16:9
the product
The MVP is live. The AI portal is built. Five dashboards run today.
01
Capture
A mobile app. A counter or driver takes four to six shelf photos, each stamped with GPS, time, and user ID. No stamp, no upload.
02
Process
An AI engine trained on Saudi packaging reads every product by brand, size, and SKU, and reads the price off the label. A photo at 10am is a data row by 10:15.
03
Dashboard
Five live metrics: distribution by district, SKU availability, competitor presence, brand coverage by store, and a price index. Filterable down to the store.
The hardest piece, the photo-to-data engine, is built and running.
Slide 5 - How it Works (LAVisions layout)layout: how_it_works · 16:9
How it works
Phone to dashboard in under 24 hours
Step 01
Walk the route
A counter or partnered driver follows a planned route and photographs the shelves the buyer pays to track.
Step 02
Verify
The app gates each upload on a GPS match and a fresh timestamp. Fail either check and the photo is rejected.
Step 03
Read
The AI extracts every SKU by brand and size and reads prices off the labels, producing one structured row per SKU.
Step 04
Surface
The dashboard answers five questions and pushes exception alerts to the trade marketing director's phone.
Step 05
Recommend
Once a month a written report ranks which stores to push product into and where trade spend is leaking.
Shelf to action overnight. NielsenIQ runs in weeks.
Slide 6 - Value Proposition (LAVisions layout)layout: value_prop · 16:9
Value proposition
ShamsVision counts what other companies guess
Current Solutions
Manual audit
  • SAR 50 to 100 per store visit
  • Two to four week cycle
  • Cannot scale past a few hundred stores
  • Data lands after the promo ends
NielsenIQ panel
  • National sample, no district detail
  • Six-figure annual cost, per category
  • No district or store resolution
  • Right number, wrong resolution
In-house audit team
  • SAR 5,000 to 10,000 per rep per month
  • Counts only your own brand
  • Data stuck in a spreadsheet
  • No competitor benchmark
With ShamsVision
  • A fraction of the cost per store, falling as the crowd layer scales
  • 24-hour shelf-to-alert cycle
  • Every brand on the shelf, down to the district
  • Priced for the local buyer, scales with coverage
The dashboard wins on every axis except brand-name trust, which is what the seed round buys.
Slide 7 - Features (LAVisions layout)layout: product_split · 16:9
Features and benefits
Five features, each tied to one buyer benefit
01
AI recognition plus OCR
One photo yields five data points the buyer would otherwise pay five teams to collect.
02
Geolocation and EXIF
Every row traces back to one photo, taken at a known place and time. The buyer can defend the number to their boss.
03
Hybrid capture
Counters today, crowd at scale, regional partners for coverage. Cost per row falls as the network grows.
04
Five-metric dashboard
Distribution, availability, competitor presence, brand coverage, price index. One screen answers the Monday review.
05
Monthly insight report
The buyer pays for an answer, not a dataset. A paragraph that says where to send the rep next week.
Why now
Two shifts made an impossible problem tractable
01
The smartphone
Every clerk and driver carries a high-resolution camera online. The auditor with a clipboard is now a phone already in the shop.
02
Modern AI
In 2022 a phone could not read a crowded corner-shop shelf. In 2026 it reads packaged goods at 75 to 85 percent, with a clear path to the 95 percent bar enterprise procurement needs.
03
Vision 2030 plumbing
98 percent internet, 85 percent electronic payments, and local-hosting rules that favour a Saudi-native vendor.
Market opportunity
A SAR 96M Saudi operating spend pool, growing every year
TAMSAMSOM
SAR 96MTotal addressable market
Bottom-up: ~220 Saudi FMCG buyer accounts x average annual contract value. This is the data-intelligence spend, not FMCG sales.
Enterprise FMCG, mid-market brands, and retail-service agencies.
SAR 48MServiceable addressable market
Filtered for segment fit, digital readiness, and a 24 to 36 month buying cycle
Enterprise FMCG and large national distributors reachable first.
SAR 11.5MServiceable obtainable market
Cumulative revenue capture over five years
The enterprise-hybrid path lands near the top of the SAR 5.5M to 11.5M band.
Slide 9 - Business Model (LAVisions layout)layout: business_model · 16:9
business model
Three tiers. SAR 3,000, 6,000, and 12,000 a month. Plus services.
Main income
B2B SaaS subscription
Distributors at SAR 36,000 a year, regional brands at SAR 72,000, multinationals at SAR 144,000. One-half to one-third of NielsenIQ.
Unit economics
Unit economics
SAR 680,000 lifetime value per customer, SAR 80,000 to 200,000 to acquire one, and a target LTV to CAC above 5. Gross margin reaches 60 percent in Year 2 and 70 percent by Year 5.
Slide 10 - Go To Market (LAVisions layout)layout: product_split · 16:9
Go to market
Asmaa sells direct. Distributors refer. Trade events fill the funnel.
01
Founder-led sales
Asmaa came out of L'Oreal trade marketing and knows most target trade marketing directors by first name. Three lighthouse pilots in 12 months.
02
Distributor referrals
Savola, parent of the Panda chain, is the reachable first anchor; Almarai's national field network is the bigger, harder second. Both open the store-permission door and the brand introduction.
03
Trade events
LEAP, Saudi FoodEx, and AAFAQ put Asmaa in a room with country managers who do not take cold outreach but do take a coffee.
04
Vision 2030 referral
MISA, Saudi Unicorns, and NTDP open warm introductions once the first anchor customer is paying.
05
Reframe the sale
Not pay for our software, but here is the data your team needs to justify the next merchandising spend.
Slide 11 - Team (LAVisions layout)layout: team_grid · 16:9
The team
A founder who lived the problem from both sides
Asmaa Shams
Founder and CEO
Electrical and computer engineer. Unilever supply chain, then L'Oreal trade marketing, where she lived the general trade data gap from inside. MBA at UBT Jeddah with a thesis on this exact problem. She called the incumbent posing as a buyer to learn its limits, then funded the MVP herself.
Electrical and computer engineer Ex-Unilever supply chain Ex-L'Oreal trade marketing MBA, UBT Jeddah WEF Global Shaper
The first five hires, funded by the seed
  • Sales and partnerships lead
  • IT lead
  • Operations lead
  • HR and social lead
  • Legal and business consultant
Slide 12 - Competitive Advantage (LAVisions layout)layout: competitive_matrix · 16:9
Competitive advantage
The seat no incumbent can take in 18 to 24 months
Saudi general trade, priced for the local buyer, hosted in Saudi Arabia, run by a Saudi founder.
01
A Saudi general trade image archive that deepens with every route
02
A distributor and store-permission network that locks in outlet access
03
PDPL-compliant local hosting designed in, not retrofitted
04
A Saudi founder whose network no incumbent country manager can match
AI and data depth
Saudi general trade focus
NielsenIQ
Trax Retail
Channelplay
ShamsVision
Slide 13 - Roadmap (LAVisions layout)layout: roadmap_3phase · 16:9
Roadmap
Founder capital today. Seed-funded pilots next. Series A scale after.
Today
Traction
Built and self-funded
AI portal and application built
MVP runs real dashboards on tuna and chips
Brand identity complete
Initial market research done
Advisor onboarded, founder-funded to date
Next 12 months
Seed funded
Pilots and team
Hire the first five
Ship Dashboard V2
Close PDPL local hosting and the SDAIA assessment
Run three lighthouse pilots
Convert two pilots to paid at 95 percent accuracy
24 to 36 months
Series A funded
Scale and expand
18 paid customers, about SAR 1.08M ARR
Gross margin past 60 percent toward 70
Expand to second-tier cities beyond Riyadh, Jeddah and Dammam
GCC pilots in the UAE and Bahrain
Build the data-network play, open Series A
Slide 14 - Forecast (LAVisions layout)layout: forecast_kpi_chart · 16:9
24 month forecast
The seed funds 18 to 24 months to first paid revenue
Capital RaisedUSD 1M to 1.5M2 rounds
Revenue (24m)revenue 24mcumulative
Minimum Cashminimum cashMonth 13
Cash at Month 24cash at month 24period end
forecast caption
Slide 15 - Ask (LAVisions layout)layout: ask_kpi_charts · 16:9
The ask
Raising seed to hire the first five, ship Dashboard V2, and run three pilots
The AskUSD 1M to 1.5MSeed round at USD 2M to 4M pre-money
Runway18 to 24 monthsLong enough to close three pilots and convert two to paid
Profitable fromYear 3Break-even at roughly 12 paying customers
Cash bridge · SAR M
Cost allocation