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    Blog Image

    Leveraging AI to Power Sustainable Procurement

    • AI helps enterprises minimize supply chain impacts via qualifying sustainable suppliers, tracing responsible products, forecasting emissions, and tracking compliance.
    • It prescribes logistics changes, reduces waste generation, redesigns packaging, and selects carbon neutral order fulfillment.
    • This sustainability transformation simplifies compliance and drives eco-friendly value chains.

    November 30, 2023 | Procurement Strategy

    For enterprises seeking to minimize environmental impacts across supply chains, procurement plays a pivotal role.

    But sustainable sourcing introduces daunting complexities around supplier qualifications, product traceability, distribution strategies, and performance reporting.

    Artificial intelligence (AI) presents a path to overcome these barriers at scale while optimizing efficiency.

    By combining advanced analytics, intelligent algorithms, natural language processing, and real-time data, next-generation AI systems enable end-to-end sustainable transformation of the source-to-pay process:

    Using AI for Sustainable Procurement

    Qualifying Sustainable Suppliers

    First, AI can intelligently rate suppliers on sustainability. Platforms analyze environmental, social, and governance (ESG) metrics from audit reports, certifications, news sentiment, credit ratings, and import/shipping data to assign CSR risk grades. Buyers instantly filter RFP responses and vendor choices based on emissions levels, waste reduction initiatives, diversity commitments or other boundary conditions while still prioritizing cost or quality needs.

    Tracing Sustainable Products

    Maintaining visibility into upstream sourcing, manufacturing, and distribution channels is critical for verifying legitimate sustainable claims and designations. Using sensors, IoT integrations and blockchain-enabled tracking, AI solutions create digital passports encompassing each product’s ethical sourcing credentials, origin journey and responsible distribution chain. This proof of provenance assures procurement and consumers of sustainability promises.

    Prescribing Alternate Distribution

    With comprehensive visibility into logistics network performance, inventory positions and demand signals, AI engines prescribe shipment modes, routes, storage locations and inventory buffers that minimize miles traveled, reduce waste and cut emissions. Models balance delivery speed, working capital needs and sustainability targets to optimize the distribution network. This smoothens flows while lowering environmental footprints.

    Forecasting & Planning for Impact Goals

    AI models provide precise demand forecasts in units and carbon output tailored to each category and location. This converts high-level corporate sustainability targets like greenhouse gas or water usage reduction into actionable procurement initiatives needed across spend areas to align source-to-pay decisions with ESG ambitions. Planning integrates sustainability guardrails.

    Continuous Auditing & Reporting

    Finally, AI automation handles the burdensome tasks of auditing every transaction for compliance with various product emissions thresholds and supplier sustainability pledges made. Intelligent systems also compile required reporting on scope 1, 2 and 3 emissions across suppliers to demonstrate progress towards mandated and voluntary ESG commitments to both internal and external stakeholders.

    Emerging Sustainability AI Capabilities

    As algorithms grow more accurate, procurement AI solutions will continue expanding sustainability capabilities:

    Carbon Neutral Requisition Routing:

    AI selects the optimal basket of qualified suppliers and logistics routes to fulfill each purchase requisition minimizing end-to-end emissions based on demand urgency, inventory positions across fulfillment points and transport modes. This also balances cost efficiency.

    Predictive Waste Reduction:

    Algorithms parse supplier contracts, historical order volumes and actual consumption rates to right-size future purchase orders and inventory stocking levels. This reduces product spoilage, obsolescence and returns dramatically cutting waste generation - especially important for perishables or fast-moving electronics.

    Automated Packaging Redesign:

    For direct procurement categories like marketing collaterals and eCommerce packaging, AI tools assess each material and shape for recycling eligibility, biodegradability, and carbon footprint. Algorithms then propose alternative more sustainable packaging designs meeting operational needs at localized price points for review.

    By infusing next-generation AI throughout planning, sourcing, procurement and supply chain execution, enterprises gain the capabilities necessary to make meaningful sustainability improvements at scale, simplify compliance burdens and optimize value chains for responsibility alongside efficiency.

    Make your procurement process truly sustainable with GEP Green.

     

    Tags: Procurement , Procurement Strategy

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