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دراسات الحالة المشتريات

المشتريات · تنسيق الذكاء الاصطناعي

توريد مدعوم بالذكاء الاصطناعي وتحليل عقود لدى مرفق مياه أوروبي

8%Savings realised through AI-assisted sourcing and contract intelligence, against the utility’s own baseline

العميل
مرفق أوروبي للمياه والصرف الصحي
المنطقة
Western Europe
نوع المهمة
مهمة استشارية
النطاق
Category strategy · Contract analysis · Sourcing automation · Supplier negotiation · Procurement data
Aerial view of a concrete arch dam and reservoir in a desert canyon

دراسة الحالة الكاملة متاحة حاليًا باللغة الإنجليزية.

01 — الوضع

The utility operates dense regional networks under public-service obligations. Its procurement function had a modern platform and a competent team, but the contract base had grown for two decades: framework agreements, amendments, price-revision clauses and local addenda, filed but never analysed together.

Renewals were prepared by reading a sample of documents, and price revisions were accepted as suppliers proposed them. Finance suspected value was leaking; nobody could say where, or how much.

02 — النطاق

  • Categories in scope: maintenance services, network materials, laboratory consumables and professional services, together about a third of addressable spend.
  • Read and structure the whole contract base for those categories: prices, revision formulas, volumes, service levels, termination and renewal terms.
  • Rebuild category strategies on the evidence, and prepare the next sourcing events with AI doing the document work and buyers doing the decisions.
  • Keep everything inside public-procurement rules and the utility’s audit trail.

منهج أوريدجا

  1. 01

    Contract intelligence

    Every contract in scope was extracted and classified by an AI reading layer: clauses, prices, indexation formulas and service levels, validated by buyers on a sample before being trusted at scale.

  2. 02

    Evidence-based category strategies

    Actual prices paid were compared with contracted prices, revision formulas were recomputed, and demand was consolidated across regions. Each category received a strategy with its sourcing wave and negotiation targets.

  3. 03

    Sourcing automation

    Requests for proposals, evaluation grids and clarification questions were drafted from the structured contract data and the category strategy, then reviewed and signed off by the category manager.

  4. 04

    Negotiation and control

    Buyers negotiated with the evidence in hand. Price-revision clauses were renegotiated, duplicate agreements merged, and a contract register with alerts became the standing control.

03 — الأثر

The utility now knows what its contracts say. Renewals are prepared from the evidence, price revisions are recomputed before they are accepted, and the sourcing calendar is driven by the category strategies rather than by expiry dates.

The AI reading layer stays in place as a control: every new contract is structured on signature, and deviations from the agreed terms are flagged to the category manager.

04 — العائد والوفورات

  • 8%Savings realisedOn the categories in scope, in the first sourcing wave, validated by Finance
  • 100%Contracts structuredOf the contract base in scope, read and classified by the AI layer with buyer validation
  • −50%Sourcing preparation timeFrom brief to published request for proposals, measured over the wave
  • ≈ 5×Return on the engagementFirst-year savings compared with fees and tooling, order of magnitude

Rounded, conservative orders of magnitude, measured on the utility’s own baseline and validated with its finance function.

تنسيق الذكاء الاصطناعي

  • The reading layer now flags price revisions that deviate from the contracted formula before they are approved.
  • Next wave: automated preparation of supplier performance reviews from delivery and invoice data.

ما شملته المهمة

  • Category strategy
  • Contract intelligence
  • Sourcing
  • Negotiation support
  • Procurement data

المشتريات

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حالات أخرى

المشترياتعلوم الحياة والرعاية الصحية

+30%Improvement in supplier assessment and data-collection efficiency, strengthening compliance and supplier-risk visibility

أتمتة تقييم الموردين في الأدوية الحيوية

كان مصنّع منظَّم يقيّم مورديه بالبريد الإلكتروني وجداول البيانات. صممت أوريدجا دورة مؤتمتة تجمع الأدلة وتقرأها وتقيّم كل مورد وتصعّد ما يحتاج إلى إنسان. تحسّنت كفاءة تقييم الموردين وجمع البيانات بنسبة 30٪ عبر أكثر من 800 مورد، بما عزز الامتثال ورؤية مخاطر الموردين.

العميل
مصنّع أدوية حيوية بعدة مواقع إنتاج
نوع المهمة
مهمة استشارية

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سلاسل الإمدادالتجزئة والسلع الاستهلاكية

3 daysShorter delivery lead time to boutiques and partners, with inventory down 7%, after the supply-planning and network redesign

تحسين الشبكة لمجموعة فاخرة

كانت مجموعة فاخرة تخدم المتاجر والشركاء وعملاء الإنترنت من شبكة نمت بالاستحواذات. نمذجتها أوريدجا في Supply Chain Guru، واختبرت البدائل ببيانات المجموعة، ونفذت التصميم المختار مع دورة تخطيط جديدة. انخفضت مهلة التسليم ثلاثة أيام وانخفض المخزون سبعة بالمئة.

العميل
مجموعة عالمية للفخامة والتجميل، نشاط إقليمي
نوع المهمة
مهمة استشارية

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