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AI6 min read

Which commerce roles can gain productivity with SaaS tools and AI?

Martin

Commerce, distribution and e-commerce generate a huge amount of data and repetitive tasks. They are therefore environments particularly suited to automation.

Purchasing

Purchasing teams handle: catalogues; prices; suppliers; orders; lead times; quotes; documents; commercial terms.

A tool can centralise this information, compare proposals or automate certain administrative tasks.

Supply chain

The supply chain involves several parties and a lot of information. Buyers. Suppliers. Carriers. Warehouses. Documents. Shipments.

A business tool can create a central point where everyone works on the same information.

E-commerce

E-commerce teams must track: catalogues; stock; orders; marketplaces; prices; promotions; returns; advertising; profitability.

The challenge is no longer just collecting data. It must be turned into decisions.

Marketplace management

The more marketplaces you add, the more complex operations become. Automation can help manage: feeds; catalogue errors; stock; orders; tracking; performance; alerts.

Sales

A salesperson still spends a lot of time outside of selling. Meeting preparation. CRM. Reports. Qualification. Research. Follow-ups. Reporting.

Part of this work can be assisted to give time back to the activity that really creates value: the commercial relationship.

Customer service

AI can help: classify requests; find an order; identify a problem; prepare an answer; summarise history; prioritise tickets.

The goal is not necessarily to remove the human. It's to let them handle faster the requests that really need their intervention.

Finance & management

Revenue doesn't mean margin. A management tool can automatically reconcile: sales; purchase costs; commissions; freight; advertising; returns; logistics; VAT; other costs.

The company then moves from simple reporting to a better understanding of its performance.

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