WhatsApp ordersWork with the messages customers already send
A customer may type a short list, photograph a handwritten note or send a voice message. These inputs can be convenient for the customer and time-consuming for the sales team. The purpose of order automation is to reduce the repeated reading and typing while preserving the product, quantity and customer context.
Natural ordering does not remove the need for clear information
Illustrative example: ‘For tomorrow: 3 cases of the usual water and 2 packs of napkins.’ The date and quantities may be clear, while ‘the usual water’ may require a configured customer reference or clarification. The system should not treat conversational convenience as permission to guess an unspecified product.
After-hours orders and approval rules
Digital intake can operate outside business hours. If the distributor allows automatic delivery of clear, validated orders, processing does not need to wait for an agent to approve every request. A customer who requires approval can keep that step. In both cases, unclear orders need a defined exception process, and dispatch follows the distributor's operating rules.
Test follow-up messages and changes
A WhatsApp conversation may include an order, a question and a later correction. Include these patterns in the pilot. Confirm how the implementation distinguishes an order from a discussion and how changes are handled before and after ERP delivery. Do not assume that every follow-up message automatically changes an existing order.
A practical WhatsApp test
Illustrative example. A customer sends a photograph of an order, then a voice note asking for one more case. Treat this as a test of the configured workflow, not evidence that changes are automatically merged.
Compare the photograph and transcription with the structured result. Check that every requested item and quantity is represented. If the follow-up cannot be associated with an order reliably, the team needs an agreed exception process.
Include readable and difficult inputs in the same sample. Test customer identity, catalogue variants and recording conditions. Measure both correctly interpreted orders and the time spent resolving unclear details.