Investment & Business Case

Before: Kari, NordHav's financial controller, starts each Monday reconciling transactions across Visma, separate Excel sheets from 4 processing plants, and manual bank imports. Month-end close takes 12 working days with 3 staff working overtime. SAF-T reporting requires an external consultant at NOK 350K/engagement. Every legal entity is a separate island of data.

After: D365 Finance auto-reconciles bank transactions via Nets integration, consolidates all 6 legal entities in real-time, and generates SAF-T and MVA returns at the push of a button. Month-end close drops to 3 days. Kari now spends her mornings reviewing AI-generated variance reports in Power BI — catching cost overruns at specific hatchery sites before they compound.

Value driver: 75% reduction in close cycle frees 5,400 hours/year across finance team (NOK 3.2M). Eliminated 2 FTE worth of manual reconciliation (NOK 1.6M). SAF-T and audit prep: from 3 weeks → 2 hours per quarter (NOK 0.8M). Cross-entity automation removes dual-entry across legal entities (NOK 2.4M). Month-end overtime eliminated (NOK 0.5M). Total: NOK 8.5M of the 18M efficiency target.

Before: Lars manages 3 hatchery sites across Nordland and checks water quality manually every 4 hours, recording readings in paper logbooks. Mortality events are detected 6–12 hours after they begin — by then, losses can reach 2–5% of a pen's biomass. Feed calculations come from an inherited Excel model that nobody fully understands or trusts.

After: AquaMonitor pulls real-time sensor data from Azure IoT Hub — temperature, dissolved oxygen, pH, turbidity — into a mobile dashboard Lars checks from the dock, the office, or home. Anomaly detection alerts him within minutes of adverse conditions forming. D365 SCM calculates optimal feed quantities per pen based on live biomass estimates from AquaMonitor, reducing the feed conversion ratio from 1.15 to 1.10.

Value driver: 1.5% mortality reduction across 52,000t GWE = NOK 5M in saved biomass. Feed optimization (0.05 FCR improvement × 52,000t × ~NOK 12/kg feed) = NOK 3M. Earlier harvest decisions based on growth curves: NOK 4M in better market timing. Total: NOK 12M — the core of the Revenue & Margin uplift.

Before: Erik places feed orders 2 weeks in advance using gut feeling and last year's consumption tables. Over-ordering ties up capital in NOK 500M of average inventory. Emergency rush orders cost a 15% premium and happen 3–4 times per month across all sites. Supplier invoices arrive by post and take 3 weeks to process through AP.

After: D365 SCM master planning connects real biomass data from AquaMonitor to feed demand forecasts and auto-generates purchase requisitions through MRP. Vendor invoicing via EHF electronic interchange gives a 3-day invoice-to-payment cycle. Inventory carrying costs drop 5% across all warehouses. Erik now focuses on strategic vendor negotiations rather than firefighting.

Value driver: 5% inventory reduction on NOK 500M = NOK 25M one-time capital release. Eliminated emergency order premiums: NOK 2M/yr. Faster invoice processing (20 → 3 days): NOK 1M/yr. Better purchase terms through consolidated spend analytics: NOK 3M/yr. Total: NOK 6M recurring + NOK 25M one-time.

Before: Ingrid manages quality compliance across 4 processing plants with paper checklists, siloed lab result databases, and manual data entry into BarentsWatch. Mattilsynet (food safety) audits trigger 2-week scrambles involving every site manager. A single traceability query — "Where did batch X come from and where did it go?" — takes 4+ hours to answer.

After: D365 Quality Management links every lot from egg incubation through harvest, processing, and shipment with full batch traceability. Quality orders auto-trigger at receiving, production, and dispatch milestones. BarentsWatch biomass reports and Mattilsynet inspection data pull directly from D365 and AquaMonitor. Full pen-to-plate trace in under 60 seconds.

Value driver: Eliminated 1.5 compliance FTE of manual reporting (NOK 1.2M). Reduced audit penalty risk exposure (NOK 0.5M). Faster product recall capability reduces liability window (NOK 0.3M). Enables ASC certification price premium on 30% of volume (NOK 0.5M). Total: NOK 2.5M annually — the full Compliance & Risk benefit.

Before: Astrid's finance team spends 5 full days each quarter building the board deck from Excel exports, manual consolidations, and email back-and-forth with site managers. Numbers are always 3–4 weeks stale by the time the board meets. Directors ask questions about cost-per-kilo by site or biological KPIs by generation — and nobody can answer in real-time.

After: Power BI dashboards connect directly to D365 Finance (cost accounting), D365 SCM (production metrics), Azure Data Explorer (IoT telemetry), and AquaMonitor Dataverse tables. The board sees live cost-per-kg by site, biological KPIs by salmon generation, and market price vs. spot predictions. Harvest timing decisions become data-driven — selling into price peaks instead of production troughs.

Value driver: Better harvest timing captures 0.2% margin improvement on NOK 4.2B revenue = NOK 8.4M. Eliminated manual reporting effort: 3 FTE × 40% time savings = NOK 1.8M. The board gains confidence in the numbers, enabling faster strategic decisions on license acquisitions and VAP expansion. These gains flow into Revenue & Margin Uplift and Operational Efficiency categories.

Before: Each processing plant runs its own production control system — Maritech at Bodø, a custom solution at Svolvær, and two other vendor systems at the remaining sites. Different vendors, different data models, different support contracts totaling NOK 5M/year. WMS is partially manual with paper pick lists. Plant managers cannot see real-time yield data across facilities.

After: D365 Production Control and Warehouse Management replaces all 4 plant systems with one unified platform. Activity users on handheld devices scan batches, record production yields, and manage warehouse put-away and picking in real-time. Cross-plant production scheduling optimizes capacity utilization — routing orders to the plant with available capacity rather than the one closest to the customer.

Value driver: Eliminated 4 legacy system licenses and support contracts (NOK 5M). Reduced IT support staff from 6 → 4 FTE (NOK 2M). Warehouse efficiency gain: 15% pick-time reduction (NOK 1M). Cross-plant scheduling: 3% capacity utilization improvement (NOK 1M). Total: NOK 9M — the full Legacy IT Cost Savings benefit.