AI Inventory Optimisation

Stock aligned to real demand
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AI Inventory Optimisation
AI Inventory Optimisation
Every pallet of overstock is trapped cash. Every stockout is missed revenue. We predict what to stock, when, and how much you need, giving enterprises total control over stock, capital, and service levels.

What is AI Inventory Optimisation?

AI Inventory Optimisation uses artificial intelligence to determine optimal inventory levels across every SKU, site, and supplier. It analyses sales, transactions, supply lead times, logistics constraints, and external signals such as events or weather to recommend when and how much to reorder.

It adapts continuously to changing demand and supply conditions and models uncertainty, identifies risks before they become shortages, and ensures every pound invested in stock delivers maximum return.

How it can help your business

Free up working capital

Reduce excess stock and release cash to fund expansion, innovation, or new locations. AI identifies where inventory exceeds true demand and recalibrates reorder points automatically.

Prevent stockouts and overstocking

Balance availability and efficiency. Forecasts pinpoint precise reorder timings, quantities, and safety-stock levels to avoid both missed sales and wasted spend.

Increase profitability

Cut storage, shipping, and obsolescence costs while capturing every sale opportunity. Smarter allocation decisions improve margin and reduce waste.

Plan across every horizon

From just-in-time items to long-lead-time goods, each SKU is optimised to its own supply cycle. AI understands every product’s unique behaviour and plans accordingly.

Make smarter, faster decisions

Unify internal data, supplier constraints, and external signals into one clear recommendation for every SKU, removing manual guesswork and spreadsheet dependence.

Strengthen supply resilience

By detecting early signs of disruption or abnormal trends, the solution allows planners to adjust before shortages or bottlenecks occur.

How it works

A unified system for intelligent stock control

The AI connects data from sales, suppliers, logistics, and external sources to create a single, live view of true inventory demand and supply dynamics.

Multi-layer forecasting

Combines short-term predictive demand with long-term replenishment planning to optimise both rapid-turn and long-lead-time products.

Constraint-aware optimisation

Every recommendation respects your operational and supplier constraints, from minimum order quantities to shipping windows and warehouse capacity.

Probabilistic demand modelling

Forecasts incorporate sales, lead times, and external signals to optimise stock levels and prevent over- or under-ordering.

Multi-site and supplier optimisation

Inventory is optimised across every SKU, location, and supplier to ensure the right stock is available where it’s needed most.

Continuously learning

The model learns from every cycle, refining parameters as market, seasonality, and supplier performance change.
Trusted by leading organisations

What the AI takes into account

Every decision is built on a complete picture of your operation, not just past sales. SolvedBy.Ai’s Inventory Optimisation engine evaluates thousands of inputs to understand how demand, supply, and cost interact across every SKU and site, balancing service, cost, and capital efficiency in real time.

Demand Drivers

  • Sales and transaction data (historical and live)
  • Promotions and pricing changes
  • Seasonality and market cycles
  • External influences, weather, holidays, events and more
  • Demand variability captured through probabilistic forecasting

Supply & Operational Drivers

  • Supplier lead times and reliability
  • Minimum order quantities and freight rules
  • Warehouse and logistics capacity
  • Product shelf life and perishability
  • Procurement and storage costs

Financial & Strategic Drivers

  • Working-capital targets and cost-of-stock thresholds
  • Service-level objectives and just-in-time policies
  • Operational rules from ERP and WMS integrations
  • Sustainability and waste-reduction goals
  • Balancing service, cost, and capital efficiency

The result

The AI continuously balances every demand, supply, and financial factor to maintain availability, reduce waste, and free working capital, turning inventory from a static cost into a strategic advantage.

Industry-tailored inventory optimisation

Sector Inventory we optimise
Retail
  • Finished goods (apparel, fashion, beauty & cosmetics, electronics, homeware)
  • Fast-moving consumer goods (drinks, snacks, toiletries, essentials)
  • Fresh & perishable stock (produce, bakery, meat, dairy)
  • Seasonal and promotional inventory
  • Click & collect / e-commerce reserved stock
CPG (Consumer Packaged Goods)
  • MRO inventory (machine parts, lubricants, filters)
  • Intermediate goods / WIP (mixes, blends, semi-finished items)
  • Raw materials and bulk ingredients
  • Finished packaged goods
  • Packaging materials (bottles, cartons, films, labels)
  • Promotional SKUs and limited-edition lines
  • Components for multi-pack assembly
Hospitality
  • SKU food ingredients (fresh, ambient, frozen)
  • Bar & beverage stock (spirits, soft drinks, mixers, beer, wine)
  • Prepared and semi-prepared items (prepped veg, batch items, desserts)
  • Consumables (cups, lids, napkins, takeaway packaging)
Supermarkets
  • Fresh categories: produce, bakery, meat, fish, deli, dairy
  • Chilled, frozen, ambient grocery
  • Non-food household & general merchandise
  • Seasonal, event-driven, and promotional inventory
  • Ready meals, bakery production inputs (in-store prep)
  • In-store food service ingredients (cafés, counters)
  • Waste-sensitive perishables
  • Store consumables and operational supplies
Manufacturing
  • Raw materials & commodities
  • WIP inventory (batches, sub-assemblies, formulations)
  • Finished goods ready for distribution
  • Packaging materials
  • Components & parts for assembly lines
  • MRO inventory (spares, tools, lubricants, filters)
  • Safety, hygiene & compliance materials
  • Production chemicals & consumables
Leisure
  • Food & beverage stock for concessions and venues
  • Retail merchandise (souvenirs, apparel, branded items)
  • Experience consumables (wristbands, tickets, golf balls, arcade items)
  • Event-specific and seasonal inventory
Private Healthcare
  • Medical consumables (syringes, gloves, gowns, dressings)
  • Pharmaceuticals & high-cost medicines
  • Diagnostic supplies (test kits, reagents)
  • Surgical instruments & sterile kits
  • Patient supplies (linen, toiletries, disposables)
  • Emergency stock & critical care items
  • Cleaning, sanitation & infection-control materials
  • Catering supplies (food & nutrition stock)

Unmatched precision in five simple steps

1

Gather

We consolidate your historical sales, inventory, supplier, and logistics data into a unified model.

Enrich

External signals such as promotions, events, weather, and shipping conditions are added to expose hidden drivers of demand.
2

Optimise

Probabilistic algorithms calculate ideal stock levels and reorder points for every SKU, considering lead times, supplier limits, and service goals.
3

Deliver

Actionable recommendations are provided through dashboards or integrations with your ERP, WMS, or procurement systems.
4

Improve

Actual results feed back into the model, allowing the system to adapt continually and enhance accuracy with each cycle.
5

Case Studies

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A partnership built on ROI

We partner with you to implement AI Inventory Optimisation that works for your business, your managers, and your people, responsibly and at scale.

If you have an inventory optimisation challenge you want to discuss, request a call.
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FAQ

Traditional systems rely on static rules and historical averages. SolvedBy.Ai’s approach adapts to real-time data and external signals, learning from every change in demand, supply, and logistics to keep recommendations accurate even when markets shift.

Yes. Each site and SKU is modelled individually, taking into account its specific demand profile, supplier network, and storage constraints. The result is precise, location-level optimisation that scales across large estates.

By identifying over-stocked SKUs and optimising reorder points, the system lowers excess stock while maintaining availability. That released cash can be redirected toward expansion, innovation, or new product lines.

Yes. The probabilistic model analyses historical patterns, demand and external factors to identify where shortages are likely to occur. It highlights those risks early so planners can act before they affect availability.

Historical sales and transaction data, current inventory and supplier data (including lead times and MOQs), logistics and warehouse constraints, and cost information. External signals like weather, holidays, and events further enhance accuracy.

Absolutely. Every recommendation respects your supplier terms, shipping windows, warehouse limits, and procurement policies, so optimisation is always operationally realistic.

Yes. Shelf life, expiry, and product lifecycle behaviour are included in the optimisation model, ensuring timely replenishment without waste.

Yes. The system considers vendor reliability, cost, and delivery performance to allocate orders dynamically and minimise disruption risk.

Yes. SolvedBy.Ai integrates seamlessly with ERP, WMS, and procurement platforms via API or data feeds, ensuring consistent, automated decision flow.

By reducing over-ordering, waste, and unnecessary transport, the system helps organisations cut carbon emissions and achieve sustainable inventory efficiency.

No. SolvedBy.Ai manages the setup, model configuration, and data integration. Most enterprises begin seeing value within the first few planning cycles.

No. The SolvedBy.Ai team manages the AI models and data processing. Your teams simply supply us with your data and use the actionable recommendations through dashboards or integrations.

Implementation typically takes 4–8 weeks, depending on data readiness and system integration requirements.

Yes. It complements your existing tools, feeding optimised recommendations into ERP, WMS, and procurement systems rather than replacing them.

Every recommendation operates within your operational rules, safety standards, and supplier contracts. Governance controls are built in, and all model logic is explainable and auditable.

Yes. SolvedBy.Ai is certified to ISO 42001 : 2023 (AI management), ISO 27001 : 2022 (information security) and Cyber Security Plus. SolvedBy.Ai also complies fully with GDPR.

Yes. AI provides the recommendations, but final decisions always rest with the customer. The solution is built for decision support, not automation without control.

ERP systems record and track inventory but use static rules for replenishment. SolvedBy.Ai adds dynamic, predictive intelligence, continuously adjusting stock targets as demand and supply conditions change.

Large retailers, hospitality groups, healthcare networks, and manufacturers that need to manage high SKU volumes and release working capital without sacrificing service levels.

TL;DR

SolvedBy.Ai’s AI Inventory Optimisation predicts what to stock, when, and how much by combining demand, supply, and external data into a single intelligence layer. It frees cash from over-stocking, prevents shortages, and turns inventory into a controlled, profit-driving asset that fuels business growth.
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