What is Real-time next best action?
Real-time next best action is an AI capability that recommends the most valuable action a field user can take at any moment. Instead of relying on gut feel or a static call plan, Aforza looks at customer history, live visit data, business priorities and rules, then suggests the action most likely to make a difference, from an order to push or a product to recommend, to a compliance gap to fix or a follow-up to book.
The recommendations aren’t fixed at the start of the day; they update as the visit unfolds. A low stock count, a failed audit check or a new customer request can all change what comes next. The diagram below shows how Aforza combines data signals, AI scoring and business rules into one clear, explainable recommendation, and learns from what the user does with it.
Recommendations that update as the visit unfolds
Built to guide decisions, not just report on them
Many field tools tell users what happened last month. Aforza is designed to tell them what to do now. Recommendations are generated from live data, explained in plain language and governed by your business rules, so field teams trust them and act on them.
Live Context
Recommendations reflect what’s happening on the visit right now, not just yesterday’s data.
Explainable AI
Every action comes with a clear reason, so users understand why it matters and act with confidence.
Business Guardrails
Priorities, eligibility and limits are set by the business, so the AI always recommends actions you can stand behind.
Continuous Learning
Every accepted, dismissed or completed action feeds back into the model, so recommendations get sharper over time.
Inside Aforza Real-Time Next Best Action
The difference between a good visit and a great one is often a single decision: the right product to recommend, the gap to fix or the conversation to have.
Real-time next best action puts that decision in every user’s hand, whether they are a rep on a store call, a technician on a service job or an assessor on an inspection. See how the day starts with prioritised recommendations, how actions update during the visit, how users accept or dismiss them with a tap, and how the business tracks and tunes the impact from the back office.
Prioritised day
The day starts with a ranked list of the actions that matter most across a user’s customers and visits.
High-value opportunities, urgent issues and overdue follow-ups rise to the top, so users can plan their route and their time around what will make the biggest difference, rather than working through visits in order.
In-visit recommendations
During the visit, recommendations appear in context as new data comes in, from stock counts and audit results to photos and customer answers.
Each action is explained in plain language, such as a product that sells well in similar outlets or a promotion the customer is eligible for, so users know why it matters and can act with confidence.
Multimodal input that powers every recommendation
Field users can share what they see and hear in whatever way is quickest, including photos, voice dictation, barcode scans, quick picks and typed notes.
Aforza’s AI turns each input into data it can act on, so a shelf photo, a spoken note about a customer request or a scanned product can instantly change the next best action. Users capture less and get smarter guidance in return.
One-tap accept and complete
Users can accept, dismiss or complete an action with a single tap, turning a recommendation straight into an order line, a task or a follow-up.
Every response is logged with an optional reason, giving the business a clear record of what was done in the field and valuable feedback that improves future recommendations.
Next best action performance reporting
Managers see how recommendations are performing across the field, including acceptance rates, completion rates and the value generated by action type, team and region.
Insights show which actions drive results and where users push back, so the business can refine priorities and rules and keep recommendations focused on what really moves the needle.
The right action for every kind of field work
Every field visit is a chance to add value, but only if users know where to focus. Real-time next best action helps every user, new starter or veteran, make the call your best performers would make.
Consumer goods
Reps get recommendations on products to list, promotions to sell in and perfect store gaps to fix.
Insurance
Assessors are guided to extra checks, evidence or follow-ups based on risk and claim type.
Banking & lending
Field loan officers are prompted on the right product, renewal or repayment conversation for each customer.
Pharma & life sciences
Medical reps see which products, samples and messages to prioritise for each healthcare professional.
Frequently Asked Questions (FAQs)
What is next best action in field sales and service?
Next best action is an AI approach that recommends the single most valuable thing a field user can do at a given moment, based on customer data, live visit information and business priorities.
How is real-time next best action different from a call plan?
A call plan is set in advance. Real-time next best action updates during the visit as new data comes in, such as stock levels, audit results or photos, so recommendations always reflect the current situation.
What data does next best action use to make recommendations?
Aforza combines customer history, orders, visit and audit results, photos, promotions and targets with the priorities and rules your business sets. The result is a recommendation that reflects both what’s happening at the customer and what matters most to your strategy.
Can the business control what the AI recommends?
Yes. Business teams set priorities, eligibility rules and guardrails in the Aforza back office, so the AI only recommends actions that fit your strategy and policies.
How do we measure the impact of next best action?
Every accepted, dismissed and completed action is logged. Dashboards show acceptance and completion rates and the value generated, so you can see which actions drive results and refine them over time.
Take a Tour of Aforza Real-Time Next Best Action
Step into a field user’s day and see how AI recommendations shape every visit. Start with a prioritised plan, act on in-visit recommendations with a tap, and watch every outcome sync back to Aforza.