You know what they bought. You know what they clicked. You know nothing about the life that decided the purchase: the new diet, the training plan, the week they simply had no time to cook. That context never reaches you, because it never leaves the customer’s phone.

So your personalisation technology works with the thin slice it can see. Purchase history, a loyalty number, a browsing trail. It recommends the thing they just bought, and pushes a generic offer at the wrong moment. The loyalty programme, the one meant to build a relationship, mostly rewards people for what they were going to do anyway.

The result is promiscuous loyalty. Your best customers are loyal to you, and to three competitors, collecting points across all four and committing to none. That is not a relationship; it is a standing discount.

A young man sitting on a sofa at night, eating from a takeaway container using chopsticks, while looking at a smartphone on a table.

Before: The empty fridge moment. Understanding life stream context for nutrition Jobs To Be Done, and unmet needs.

Example onboarding journey for a ‘My Nutrition Coach’ AI Agent, served as a mini-app inside a grocery retailer’s mobile app.

Screenshot of the NutriBite mobile app displaying the personalised meal plan overview, highlighting features such as meal days, data sources, and synchronization options.

Plan the week, not just the basket. Your app helps the customer solve a real job: a diet, a training plan, a household to feed. The basket grows with relevance.

Screen displaying the 'Connect Apple Health' option for the NutriBite app, outlining data requests including active calories burned, step count, and weight & height, with a button to connect Apple Health.

Recommend from real life, not the last receipt. You stop echoing the last purchase and start meeting the real-life context the customer is living now: The Golden Context.

Screenshot of a YouTube meal plan feature prompting users to connect their YouTube account to personalise meal preferences and suggesting functionalities.

Reach the right moment, not the loudest one. Your app reads the change, a life event, a new influence or goal, and the AI agent offers help instead of noise.

Screenshot of a weekly meal plan interface, displaying breakfast, lunch, and dinner options for Saturday, including a Cajun Omelet, Korean Beef Bowls, and Chicken Enchilada Chilaquiles, along with their calorie counts.

Turn a transaction into a relationship. The customer shares what matters; your app repays it with something genuinely useful, so they feel served, not tracked.

When customers return week after week, relationships and baskets grow together.

“A healthier weekly shop becomes a habit; the habit becomes a relationship; the relationship shows up in the numbers a board tracks — basket size, frequency, retention, lifetime value. The customer feels served. You grow. Same mechanism, both sides of the counter.”

A man smiling at a female cashier in a grocery store, with a shopping cart full of fresh produce and groceries. The cashier is scanning items while engaging with the customer.
After: From Grocery Supplier to Personal Nutrition Advisor: Supporting customers to live a more fulfilled life.

Your team controls three parts:

  1. An SDK that drops into your existing app in hours
  2. An on-device Intelligence layer that personalises locally
  3. An Orchestrator where your team designs journeys and pushes them to every device.

API-first, so it composes with the CRM, CDP and catalogue you already run. Personal data only leaves the device when the customer chooses to share it; compliance follows from the architecture rather than being bolted on.

  • Up to 44X engagement (methodology)
  • 25%+ activation uplift
  • 100% compliance
  • Zero of the most sensitive personal data in your cloud

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