Shelfie-tech Ltd. · CSE:SHLF

Shelfie-tech — Investor Presentation (August 2026)

26 slides from Shelfie-tech's investor presentation, August 2026

  1. Slide 1: Turning fragmented retail data into business actions

    “Turning fragmented retail data into business actions that boost performance, maximize customer value, and grow profitability.” Aug 2026 CSE: SHLF, OTCQB: SHLFF

  2. 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

  3. 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

  4. Slide 4: Retail is Drowning in Data and Starving for Execution

    Retail is Drowning in Data and Starving for Execution. Distilling complex retail data into clear execution that drives results CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 4

  5. Slide 5: ShelfieTech Company Snapshot

    ShelfieTech Company Snapshot Leading #1 Team AI Native Proven Retail Leadership Intelligent AI-Based Execution Retail, technology, and growth experts Unifies data from organizational with decades of experience, including information sources such as POS, ERP, CRM, building and scaling companies acros

  6. Slide 6: 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

  7. Slide 7: From Shelf Execution to Retail Intelligence

    From Shelf Execution to Retail Intelligence 1 2 3 Built from Expanded to the Scaled through market- the shelf. entire retailer. level data monetization. Shelf Execution → Retailer-Wide Intelligence → Market-Level Monetization From execution platform to global retail data business. CSE: SHLF, OTCQB:

  8. Slide 8: The Business and The Market

    The Business and The Market CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 8

  9. Slide 9: Retail is Drowning in Data and Starving for Direction

    The Challenge Retail is Drowning in Data and Starving for Direction. Paralysis Execution Data Silos by Analysis Failure Sales, inventory, and loyalty data sit Traditional BI tools visualize what’s Teams act too little, too late, and in isolated systems wrong but never show teams how smaller retailer

  10. Slide 10: 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

  11. Slide 11: 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

  12. Slide 12: Why Now

    Why Now Three shifts have made retail execution intelligence possible — and urgent. 1 2 3 AI is finally Retail margins Retail data is production-ready are collapsing a new asset class Real-time ML at retail scale and cost, Inflation, labor, and channel FMCG suppliers, benchmarking closed-loop execut

  13. Slide 13: The Only Platform That Closes the Loop and Monetizes the Data

    The Only Platform That Closes the Loop and Monetizes the Data Point Functional Infrastructure Solutions Systems Platforms Zebra UKG SAP / Oracle/ Snowflake Trax RetailNext Capability ShelfieTech Reflexis (Kronos) / Tableau Multi-source data integration ✕ AI-prioritized task queues ✕ ✕ ✕ Closed-loop

  14. Slide 14: Our Offering, & Technology

    Our Offering, & Technology CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 14

  15. Slide 15: A New Category: Retail Execution Intelligence

    A New Category: Retail Execution Intelligence RAW DATA SOURCES EXECUTION INTELLIGENCE LAYER ACTIONABLE OUTPUTS POS Inventory Alerts and tasks for every management level ERP 1 Global data integration and unification — from CEO to store manager. CRM AI & ML-based retail algorithm • Profitability impro

  16. Slide 16: Why ShelfieTech

    Why ShelfieTech Built for Retail Retail Execution Intelligence Built to Scale Built on years of retail operational Fast deployment & integration Proven leadership team expertise Retail-native workflows Continuous learning loops Strategic partners & integrations Embedded execution workflows Smarter w

  17. Slide 17: From Proven Platform to Global Big Data Business

    From Proven Platform to Global Big Data Business Our roadmap from a deployed retail platform to AI execution and global BIG data monetization 2029+ 2023–2024 2024-2026 2026-2027 2027-2028 1 Infrastructure 2 Sales 3 Expansion 4 Building Data Scale 5 Big Data Monetization Built, Proven Balanced with E

  18. Slide 18: 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

  19. Slide 19: 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

  20. Slide 20: BIG Data Monetization Revenue Model

    BIG Data Monetization Revenue Model ShelfieTech helps retailers monetize their BIG data while giving smaller chains access to market-level insights once available only to retail giants. Revenue Layer What It Delivers Market Benchmarks Compare performance against broader market patterns Data Products

  21. Slide 21: The Company and Financials

    The Company and Financials CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 22

  22. Slide 22: 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

  23. Slide 23: ShelfieTech – Capital Raises & Share Price

    ShelfieTech – Capital Raises & Share Price Share Price Across Rounds (Total Capital Raised $4.45M) $1.50 24M Nil $1.30 Shares Options $1.25 $1.00 Nil $1.00 Warrants $0.75 $0.66 $0.55 $0.50 $1.44M $1.83M $1.18M $5-6M $0.25 $0.00 2022/2023 Private April 2024 December 2025 Private Current Round Placeme

  24. Slide 24: Current Financing Terms

    Current Financing Terms Sale price: USD 1.30 per share Sale lock-up: The shares sold are locked for a period of 4 months and one day for investors who are not U.S. citizens. Allocation mechanism • The investor transfers the investment funds to the company’s account. • The company undertakes not to u

  25. Slide 25: From an execution platform to a global data company

    ShelfieTech helps retailers turn data into real business actions, improving business performance and creating a new revenue stream. From an execution platform to a global data company. CSE: SHLF, OTCQB: SHLFF INVESTORS PRESENTATION 26

  26. Slide 26: Thank You

    Thank You CSE: SHLF, OTCQB: SHLFF 27

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