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ProcurAI connects to sales and inventory data (via ERP or distributor feeds) for each HoReCa location, building a history of consumption by product, day, and occasion.
ProcurAI · Autonomous procurement
ProcurAI uses contextual artificial intelligence to create suggested orders for every HoReCa location. It combines historical consumption with real-world signals like events, weather, and marketing activities, so managers can review, adjust, and approve - instead of building every order from scratch.
Give every outlet a smart “shopping list” for today, tomorrow, and the weekend - generated by contextual AI.
Most HoReCa chains and brands still rely on local managers or sales reps to “feel” how much to order. They look at last week's or last year's numbers, check what is left in the storage, and try to guess what will happen next weekend or during a big event.
This leads to understocking during peak days, overstocking after promotions, and a lot of time spent building orders manually. Data exists, but it's rarely used in a structured and contextual way.
ProcurAI uses past consumption data for each outlet and combines it with context such as weather forecasts, local events, holidays, sports games, and planned marketing campaigns. The result is a suggested order for every location and date range - ready for a quick review and approval.
Instead of “What should we order?”, the conversation becomes “Do we want to adjust what ProcurAI already prepared?”.
ProcurAI connects to sales and inventory data (via ERP or distributor feeds) for each HoReCa location, building a history of consumption by product, day, and occasion.
Weather forecasts, local events, holidays, sports matches, and planned marketing activities are added as contextual signals that influence demand.
For each outlet, ProcurAI generates a suggested order for a selected period (e.g. next 3 days or next week), balancing typical consumption patterns with upcoming context.
Central procurement, regional managers, or local outlet managers can review the suggested orders, adjust quantities, add or remove items, and apply internal rules.
Approved orders are sent to distributors or suppliers through existing channels - direct integration, BeeAI, email, or other methods - depending on your setup.
Give every outlet a daily or weekly suggested order, tailored to its profile, typical consumption, and context. Reduce time spent on building orders and improve availability on critical days.
Use ProcurAI to support key HoReCa customers with smarter ordering. Help them avoid stockouts and overstocks, while your own demand becomes more predictable and stable.
For beverage and FMCG brands, ProcurAI can provide outlet-level suggested orders across markets, while still respecting existing distributor relationships and routes.
Suggested orders based on historical consumption, seasonality, and real-world context such as events, weather, holidays, and campaigns.
Each HoReCa location is treated as a unique node, with its own patterns, peaks, and product mix.
Central teams can set rules, ranges, and limits, and then let ProcurAI propose orders that respect these constraints.
Suggested orders can be grouped per supplier or distributor, based on existing contracts and logistics setup - without forcing a change in your partner network.
Suggested orders can be turned into final orders via BeeAI (chat) or SellionAI (eCommerce, field sales, delivery), keeping procurement and execution connected.
Start with suggestions and human approval. Over time, move selected categories or outlets to fully autonomous ordering under defined guardrails.
ProcurAI is powered by Hive365, B2Bee's data and integration layer. Sales, inventory, and outlet data can come from ERPs, distributor systems, or other sources - ProcurAI focuses on understanding demand and producing suggested orders, without forcing changes to your existing infrastructure.
Start with a pilot on a selected group of outlets or one market, and see how contextual AI can support your teams with smarter, faster procurement decisions.
Request a ProcurAI demo