Growzer
Built an AI-powered ordering, forecasting and inventory management platform with intelligent menu engineering.
Foodservice wholesalers, distributors and multi-location restaurant operators are facing the same new reality: margins are under pressure, customer expectations are rising, labour is scarce, product data is becoming strategic and waste is too expensive to ignore.
The answer is a smarter operating model where data, AI and engineering help teams capture demand, protect margin, reduce waste and orchestrate food supply, moving foodservice from reactive fulfilment to intelligent performance.
Foodservice players are expected to become more than suppliers or operators. Wholesalers need to help customers order smarter, plan better and run more profitably. Restaurant groups need to manage menu, purchasing, inventory, waste and operations with more precision across every location.
Many organisations still run on fragmented product data, manual order flows, disconnected ERP, WMS, POS and webshop systems, Excel-based forecasting and too much operational firefighting.
A widening gap divides what the business needs to control from what the operating model can currently support. Prices change faster than contracts, orders arrive across too many channels, product substitutions are handled manually, and decisions still depend too much on gut feeling.
AI creates an opportunity to close that gap, not by replacing teams, chefs, buyers or account managers, but by giving them better intelligence, better tools and better ways to act.
AI becomes valuable when it is connected to real operating pressure. In wholesale and foodservice, that means improving order capture, availability, pricing, purchasing, menu performance, waste reduction, customer service, logistics and operational control.
Capture, structure and validate orders across webshop, EDI, email, WhatsApp, PDF and phone.
Help chefs, buyers and outlet managers reorder faster, discover alternatives and build smarter baskets.
Predict demand by customer, product, season, event, weather and menu cycle.
Protect margins with AI-supported pricing, cost changes, contract insights and customer-specific recommendations.
Recommend the best alternative when products are unavailable, too expensive or better replaced.
Connect recipes, purchasing prices, sales and stock to steer foodcost, menu margin and waste.
Guide account managers with churn signals, category gaps, next-best-actions and customer growth opportunities.
Improve picking, workload, cold-chain handling, delivery promises and service exceptions.
Make product, origin, allergen, packaging and CO₂ data usable across sales, service and customer channels.
Connect demand, inventory, purchasing, warehouse, transport and customer service into one operational decision layer.
Many foodservice organisations already see the potential of AI. The harder question is where to start, how to de-risk delivery and how to scale beyond isolated tools or dashboard projects.
Wildstream starts with value, risk and readiness.
We identify the use cases where business impact is high, delivery risk is manageable and adoption is realistic.
Then we build a multidisciplinary delivery pod that combines foodservice context, product thinking, engineering, data and Applied AI capability.
The goal is not to launch ten disconnected AI pilots. The goal is to prove value in the right place, make it operational and scale from there across sales, purchasing, ordering, operations, logistics or restaurant performance.
We map business value, delivery complexity, data readiness and organisational maturity to choose where AI can make a measurable difference first.
We configure a multidisciplinary Wildstream pod together with your team, combining foodservice expertise, product ownership, engineering, data and AI capability.
We link existing ERP, WMS, TMS, POS, PIM, CRM, webshop and supplier systems through a reliable data and integration foundation.
We do not force automation where human judgement is required. We design the right level of AI assistance, approval, explainability and governance.
Once value is proven, we extend the pattern across customers, depots, outlets, categories, routes, suppliers or restaurant locations.
Customers order through webshop, mail, phone, WhatsApp, EDI or PDFs. That creates manual work, errors, late corrections and avoidable service pressure.
Product codes, allergens, substitutions, packaging, pricing, availability and sustainability data often sit in different systems, making smarter customer service difficult.
Input prices, transport costs and supplier conditions change quickly, while sales prices, contracts and customer communication often lag behind.
Teams often plan purchasing, stock and production based on historic averages, manual judgement or last-minute demand signals.
Multi-location operators need better control over foodcost, waste, menu performance, ordering behaviour and stock across every outlet.
Picking, routing, cut-off times, substitutions, missing products and delivery exceptions determine customer satisfaction — but are often managed too manually.
We use AI to design, build, test and improve digital foodservice solutions faster and with higher delivery discipline. This helps wholesalers and restaurant groups modernise ordering platforms, supplier portals, internal tools, customer-facing apps, data platforms and operational dashboards.
We build AI into the foodservice solution itself: predictive ordering, demand forecasting, product substitution, pricing intelligence, customer service copilots, menu margin intelligence, waste prediction, route optimisation and operational control towers.
Both disciplines reinforce each other. One helps you build faster. The other helps you build smarter wholesale and foodservice capabilities.
Built an AI-powered ordering, forecasting and inventory management platform with intelligent menu engineering.
Developed AI-driven back-of-house automation with revenue prediction to improve operational efficiency.
Engineered a multi-channel order management platform that automates order intake across sales channels.
We are not an AI demo team. That means we care about business value, operating constraints, engineering quality, data foundations and adoption in the organisation.
For wholesale and foodservice, our role is to help teams turn AI ambition into practical capabilities that improve order accuracy, margin discipline, waste reduction, customer service and operational execution.
Wildstream combines foodservice experience, AI engineering, high-end software delivery and growth execution. Through Growzer, we have built and scaled digital foodservice operations from within the sector itself.
We help you start small enough to prove value, and build strong enough to scale.
Rijnkaai 100 – 12 B, 2000 Antwerpen