Shelfie-tech Ltd. · CSE:SHLF
Shelfie-tech — Investor Presentation (2026)
24 slides from Shelfie-tech's investor presentation, 2026
Slide 1: The Retail Intelligence Layer for the AI Era
The Retail Intelligence Layer for the AI Era Turning retail context & expertise into smarter decisions and action. CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 1
Slide 2: Disclaimer
Disclaimer This presentation (the “Presentation”) has been prepared by Shelfie-Tech Ltd.. (“Shelfie” or the “Company”) for informational purposes only. It does not constitute an offer to sell or a solicitation of an offer to buy any securities in any jurisdiction. This Presentation is not, and under
Slide 3: Summary of Key Investor Risks
Summary of Key Investor Risks ShelfieTech has developed a promising retail execution intelligence platform with existing customers, recurring SaaS revenue, and a strategic opportunity to expand into retail data monetization. Investors should consider the following key risks before making an investme
Slide 4: ShelfieTech Company Snapshot
ShelfieTech Company Snapshot Leading #1 Team AI Native Proven Retail Leadership AI-Powered Retail Intelligence Retail, technology, and growth experts Unifies retail data, applies retail-specific with decades of experience, including knowledge and business context, and turns building and scaling comp
Slide 5: Team built to execute at scale
Team built to execute at scale Bentsur Joseph Gal Ezrach Gindin Itzik Atias CEO & Chairman COO CTO Serial entrepreneur with a proven track record in building and Operations executive with a strong background in high-tech Technology leader with extensive experience in Retail Tech, AI, scaling compani
Slide 6: The Business and The Market
The Business and The Market CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 6
Slide 7: Retail Is Getting More AI. But Less Alignment.
T H E C H AL L E N G E Retail Is Getting More AI. But Less Alignment. Every system optimizes its own objective. No system sees the whole business. Local AI Conflicting Execution Everywhere Recommendations Failure Each system optimizes its own KPI More recommendations. Less clarity. Misalignment crea
Slide 8: Multi-Billion-Dollar Global Market
Retail Intelligence Is Becoming a SaaS REVENUE Multi-Billion-Dollar $10B Global Market Retail Analytics & Operational Intelligence DATA MONETIZATION TAM: $410 to $560B Global market opportunity $400-550B Retailer-sourced data assets Sources: Grand View Research (Data Broker Market), eMarketer, Stati
Slide 9: Not a Concept. A Proven Platform. Dozens of Retailers.
Not a Concept. A Proven Platform. 3 Years. Dozens of Retailers. Already running at scale across Israel: "Covers 99% of our analytics needs and keeps expanding ." Yossi Cohen, CEO | ZER4U “Immense value — lower costs, faster response, better efficiency.” Shimon Hadad, VP Business | Isracard CSE: SHLF
Slide 10: Why Now
Why Now Three shifts are creating a new opportunity in retail intelligence. 1 2 3 AI Is Becoming Retail Needs One Retail Intelligence Universal Business Context Becomes the Asset Every retail system is adding AI, Disconnected AI recommendations Accumulated retail knowledge, validated making intellig
Slide 11: Our Offering, & Technology
Our Offering, & Technology CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 11
Slide 12: One Retail Context. Better Decisions Across the Business.
THE SOLUTION One Retail Context. Better Decisions Across the Business. RETAIL SYSTEMS 01 Input POS ERP CRM Inventory Pricing Loyalty SHELFIETECH RETAIL INTELLIGENCE LAYER Business Context Accumulated Retail Intelligence Data, priorities and constraints + Evolving expertise, best practices and workfl
Slide 13: The Waze of Retail Intelligence
THE ANALOGY The Waze of Retail Intelligence From understanding your business to benefiting from the experience of retail. WAZE NEEDS RETAIL AI NEEDS • Full road network • Full business picture • Current road conditions • Current operating constraints • Clear destination • Clear business priority • A
Slide 14: Turning Retail Intelligence into Business Action
PLATFORM ARCHITECTURE Turning Retail Intelligence into Business Action RAW DATA SOURCES RETAIL INTELLIGENCE ENGINE BUSINESS OUTCOMES POS Inventory Alerts and tasks for every management ERP 1 Connect & harmonize data level — from CEO to store manager. CRM Apply business context & retail • Fewer stock
Slide 15: A Retail Intelligence Layer Built for Business-Wide Decisions
A Retail Intelligence Layer Built for Business-Wide Decisions Combining retailer-specific context, accumulated expertise and operational execution. Solution category Primary focus SHELFIETECH COMBINES ShelfieTech Retail-wide context, domain intelligence and Business Context Retail intelligence layer
Slide 16: From Proven Retail Platform to Scalable Retail Intelligence
From Proven Retail Platform to Scalable Retail Intelligence Our roadmap from an established SaaS business to AI-powered decisions, execution and new data opportunities. 2021–2024 2024–2026 2026–2027 2027–2028 2029+ 1 Foundation 2 SaaS Growth 3 Expansion 4 Intelligence 5 Platform Proven Foundation Re
Slide 17: Isracard
CASE STUDY — MAXIMIZING CUSTOMER LOYALTY VALUE Isracard The Challenge Leading Israeli credit card company — 45+ years in market. Optimize customer loyalty management and unlock value from massive transactional big- data assets. Traded on the Tel Aviv Stock Exchange, ~NIS 3B market cap The Solution D
Slide 18: ZER4U
CASE STUDY — MAXIMIZING OPERATIONAL EFFICIENCY ZER4U The Challenge Israel’s leading chain in flowers and gifts. Managing inventory across a large number of branches and item types, with a high need for accurate, real-time identification of changing demand patterns. Nationwide flowers and gifts chain
Slide 19: Multiple Revenue Streams. One Retail Intelligence Platform.
Multiple Revenue Streams. One Retail Intelligence Platform. Recurring SaaS revenue today, with opportunities to expand platform value and develop new data-driven revenue streams. Revenue Layer What It Delivers CURRENT Core SaaS Subscriptions Recurring revenue from the deployed retail platform BUSINE
Slide 20: The Company and Financials
The Company and Financials CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 20
Slide 21: Proforma – Net Assets
Proforma – Net Assets Revenues & Net Profit (USD, thousands) As of December 31, 2025 (USD) Total Revenues Net Profit (Loss) 1,400 ASSETS 1,236 Cash 1,882,305 1,200 1,131 Restricted deposit 9,869 Accounts receivable 191,762 1,000 925 Other receivables 293,360 Total Current Assets 2,377,296 800 Fixed
Slide 22: ShelfieTech – Capital Raises & Share Price
ShelfieTech – Capital Raises & Share Price Share Price Across Rounds (Total Capital Raised $4.45M) $1.50 24M Nil Shares Options $1.25 $1.00 Nil $1.00 Warrants $0.75 $0.66 $0.55 $0.50 $1.44M $1.83M $1.18M $0.25 $0.00 2022/2023 Private Placement April 2024 December 2025 Private Placement CSE: SHLF, OT
Slide 23: In the AI era, understanding the business is as important as understanding the data.
In the AI era, understanding the business is as important as understanding the data. Business context is what turns AI from a powerful tool into a business advantage. CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 24
Slide 24: Thank You
Thank You CSE: SHLF, OTCQB: SHLFF 25