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Leveraging Data Integration & Predictive Analytics - Palantir

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    Leveraging Data Integration & Predictive Analytics to Drive Resilience and Growth

    1. Background

    · FY25 performance was materially impacted by the December supply chain strike, costing an estimated $40–50m EBIT .

    · Current transformation projects (endeavourGO and One Endeavour) focus on ERP and efficiency, but lack a centralised predictive data platform.

    · Coles Group addressed similar challenges by partnering with Palantir Foundry, creating a single source of truth for supply chain, workforce, and demand data.

    2. Lessons from Coles

    · Coles integrated thousands of data sources across its network.

    · Benefits delivered:

    o Supply chain resilience → rapid adaptation to disruptions.

    o Inventory optimisation → reduced stockouts and overstock.

    o Workforce planning → better rostering and fewer IR flashpoints.

    o Customer insight → personalised promotions based on real-time supply.

    3. Opportunity for Endeavour

    Key applications in our business:

    · Retail Liquor (Dan Murphy’s & BWS):

    o Predictive demand forecasting by region & store.

    o AI-driven promotions tied to loyalty data (My Dan’s 5.5m members).

    · Hotels (ALH):

    o Optimise food & beverage ordering and reduce waste.

    o Real-time rostering to balance staff costs with service needs.

    o Gaming and accommodation revenue modelling.

    · Supply Chain & Risk:

    o Scenario planning for strikes, port delays, or extreme weather.

    o Dynamic rerouting and supplier substitution.

    · Customer Engagement:

    o Link pub+ loyalty (480k members) with retail promotions for cross-sell.

    o Enhance digital experience through personalised offers.

    4. Financial & Strategic Rationale

    · Avoiding another $40–50m EBIT shock (as in FY25) would alone justify investment.

    · Estimated cost of deployment: ~$40–60m over 3 years (benchmarked against Coles partnership).

    · Potential annual benefits:

    o Supply chain efficiency gains: $20–30m.

    o Working capital savings (inventory optimisation): $50–70m.

    o Labour efficiency: $15–20m.

    o Incremental revenue lift via loyalty cross-sell: $30m+.

    · Payback period: likely within 2–3 years.

    5. Alignment with “One Endeavour”

    · ERP implementation (target H1 FY28) provides a backbone, but lacks real-time predictive analytics.

    · A Palantir-style overlay would:

    o Accelerate value capture ahead of ERP completion.

    o Future-proof the group with AI-driven insights.

    o Reduce operational risk and IR volatility.

    6. Recommendation

    That the Board authorises management to explore partnerships with Palantir (or similar providers), with the following steps:

    1. Feasibility study – scope integration across Retail, Hotels, Supply Chain.

    2. Pilot program – run in a subset of BWS/Dan Murphy’s stores and ~50 ALH hotels.

    3. Business case – present to Board FY26 H1 with quantified ROI.


 
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