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Kramp group BV

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September 15, 2023
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Kramp group BV

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Marketing OGZ

September 15, 2023
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  1. 5 Kramp 2023 To be the essential partner in parts

    and services in the Agricultural, Construction and Forest & Grass Care industries in Europe.
  2. Kramp 2023 6 Machinery Parts Slurry, Hoses and Sprayers Tractor

    & Vehicle Parts Shop & Workshop Forest & Grasscare Toys, Merchandise, Clothing & PPE Animal Husbandry & Farming Pneumatics & Electrics Stationary Transmission Hydraulics Kramp’s assortment contains > 500K products
  3. Kramp 2023 7 b2b via our dealer network b2f via

    our marketplace 1104M 2022 € TURNOVER > 3K EMPLOYEES (FTE) 23 SALES OFFICES 11 DISTRIBUTION CENTRES Strategy of Kramp is built around two business models..
  4. Kramp 2023 8 Kramp.com Kramp Mobile App 95% of our

    sales is digitally via the platform 200k order lines per day. Microservice-oriented ecommerce platform running on GCP Maykers marketplace
  5. 13 Two main drivers why we started a data strategy.

    Many companies struggle to monetize data & ai Kramp has articulated the importance of data in its Strategy 2025. “Digital Leading in our Industries & Data Driven”
  6. 15 Bizz-Tech Collaboration = essential. Create a core team with

    senior leadership from tech & business. Create a group of key stakeholders per business domain.
  7. 16 We developed a four-step approach to start the data

    strategy 1. Set ambition 2. Maturity audit 3. Create use cases 4. Plan & advice Set the ambition by creating a north star & aligning with the overall strategy. Measure the baseline by performing a maturity audit for data & ai. Find opportunities by creating use cases with your key stakeholders. Create a recommendation by consolidating all the input into one plan & advice. Objective
  8. 17 Set the ambition by creating a north star &

    aligning with the overall strategy. 1. Set Ambition Jointly with the Core Team, we created a north star objective by organizing two workshops.
  9. 18 Measure the baseline by performing a maturity audit for

    data & ai. 2. Maturity audit Around 60 key stakeholders were interviewed. From board member to data analyst. Technical audit performed by organizing workshops and code reviews with the architects & engineers. All input gathered and measured against the Data & AI Maturity Framework.
  10. 19 Find opportunities by creating use cases with your stakeholders.

    3. Create use cases We started with an inspirational workshop. What is possible with Data & AI? Workshops were organized per business domain. In total 14 use cases were found and approved by its business owners. The use cases were prioritized by using the ICE scoring method. * ICE score = Impact * Confidence * Ease
  11. 20 Create a recommendation by consolidating all the input into

    one plan & advice. 4. Plan & Advice We consolidated all input into one readable recommendation. We created a roadmap for the implementation. We developed a management summary for the executive board.
  12. 23 We started working on several deliverables…. 1. 2. 3.

    4. 5. Selection & implementation data catalogue Upgrade the EDW & enable self-service Buy & selection data science platform Start working on the first use case (demand forecasting) Create job profiles, learning paths & training curriculums Design Data Office & hire a Data Director Now Next Later
  13. 24 -6,32% FORECAST ERROR REDUCTION € 850K p/m FORECAST ERROR

    IMPACT IN EURO’S Vertex AI in GCP Build the AI platform Use case Demand Forecasting Fast movers Build & run the model Determine the scope Let’s rock!!
  14. Involve your business stakeholders & create ownership. Align & integrate

    your data strategy into the company’s strategy. Start small and focus on only 1 use case to quickly deliver value. Keep it tangible and pragmatic. Strategy should be executable! 25 We would like to share the following take-aways….