Big Data to predict traffic jams

Big Data is increasingly being used to find solutions to problems around the world. In this latest example, Microsoft has partnered with the Federal University of Minas Gerais, one of Brazil’s largest universities, to undertake research that helps predict traffic jams up to an hour in advance.

With access to traffic data (including historical numbers where available), road cameras, Bing traffic maps, and drivers’ social networks, Microsoft and team are set to establish patterns that help foresee traffic jams 15 to 60 minutes before they happen.

Microsoft has tested this model in London, Chicago, Los Angeles, and New York, and claims to have achieved a prediction accuracy of 80 percent.

Amazon Dash: The Button That Rewrites Loyalty

A one-click purchase is not the point. Default is.

Amazon Dash Button looks simple. A branded button you stick near the place of usage. You press it. The same item arrives again.

But the strategic move is not “one click.” It is making the reorder the default behavior.

Dash Button turns repeat buying into an ambient habit. It shifts commerce away from discovery and toward automation. It pushes the battle for the customer from the shelf and the screen to the home.

What the Dash Button does

Dash Button is a small connected device tied to one specific product, and often one specific pack size. You link it to your Amazon account. You place it where the need occurs.

Examples are obvious in everyday life:

  • Detergent button near the washing machine
  • Coffee button in the kitchen
  • Pet food button near the feeding area

When the product runs low, you press. Amazon confirms the order, typically via app notifications, and ships.

The experience is intentionally narrow. That narrowness is the innovation.

In consumer convenience products, loyalty is often less about love and more about default.

Why the narrowness matters

Dash Button removes three high-friction moments that brands fight over every day:

  1. Search. The customer does not type a query.
  2. Comparison. The customer does not see alternatives.
  3. Persuasion. The customer does not view ads, ratings, or promotions in the moment.

In other words, the customer does not shop. They simply replenish.

Once a household adopts replenishment behavior, the role of branding changes. The brand becomes less about persuasion and more about being the chosen default.

The hidden bet. Repeat purchases are the real moat

Dash Button is a physical expression of a platform strategy.

If Amazon captures replenishment categories, it wins the durable, high-frequency part of retail. The items that quietly drive recurring revenue and predictable logistics.

The button also functions as a data instrument. It reveals how often a household needs a product, where it is used, and which categories are truly habitual versus occasional.

That insight feeds subscriptions, predictive delivery, and future interface removal.

What this signals to CPG and retail leaders

Dash Button compresses marketing into an upstream decision.

The question is no longer “How do we win at the point of purchase?” It becomes “How do we become the configured default before the point of purchase even exists?”

For CPG leaders, this forces uncomfortable clarity on loyalty, pack architecture, trade visibility, and availability. For retailers, it signals a shift in power toward whoever owns the reorder interface.

The consumer tension. Convenience vs control

Dash Button introduces a trust tradeoff.

Consumers value convenience, but they also worry about accidental orders, loss of price checks, oversimplified choice, and dependence on a single platform.

Those tensions do not invalidate the model. They clarify what platforms must solve through better confirmations, clearer reorder states, and smarter replenishment rules.

The bigger story. Interfaces disappear

Dash Button fits a broader direction in commerce. Buying moves away from screens and toward contexts.

The pattern is consistent: less explicit shopping, more embedded intent, more automation, and more default-driven brand outcomes.

Dash Button is not the endpoint. It is an early, tangible step toward commerce that feels invisible.


A few fast answers before you act

What was Amazon Dash?

Dash was a physical reorder button that let customers buy a specific everyday product with one press, removing browsing and checkout steps.

What is the core mechanism?

Turning replenishment into a default action. One button equals one SKU. The interface collapses choice into speed and habit.

Why does this change loyalty dynamics?

Because the reorder interface becomes the brand decision. If the button exists, switching requires extra effort, so the default compounds over time.

What is the business intent?

Increase repeat purchase frequency and reduce churn by owning the replenishment moment and lowering friction to near zero.

What should other brands steal?

Design for the reorder moment. If your category is habitual, the winning move is to remove steps, make the default easy, and earn repeat behavior through convenience.

Knorr physical retargeting: iBeacon soup truck

In November, a Knorr food truck in chilly Stockholm offers free warm samples of the brand’s tomato and Thai soups. Visitors can eat it on the spot or take home the samples.

To ensure visitors can also be retargeted through relevant mobile ads, Knorr equips the truck and the sampling team with battery-powered iBeacons. Through these beacons, visitors who already have the Swedish newspaper Aftonbladet app installed are registered as having been there. Instead of pushing a coupon immediately, the campaign waits until the next time the user opens the Aftonbladet app, then serves the offer as a mobile ad on the start screen.

In FMCG sampling, delayed retargeting works best when the message arrives in a natural “open app” moment, not as an intrusive push at the street corner.

Physical retargeting is the practice of using a real-world visit as the trigger for a later digital message, so the follow-up feels connected to what the person actually did offline.

Why the timing choice matters more than the beacon

The iBeacons are the plumbing, but the experience design is the restraint. The campaign avoids interrupting the sampling moment and instead chooses a later point of attention when the person is already browsing content. That shift makes the offer feel more like a relevant reminder than a forced conversion attempt.

What the campaign proves, beyond “we can target”

Sampling often struggles with attribution. This approach creates a cleaner bridge between the street interaction and a measurable mobile impression, without requiring a QR scan or a form fill at the truck.

What to steal for your own offline-to-mobile loop

  • Separate experience from conversion. Let the street moment stay human, then follow up later in a calmer context.
  • Use a trigger the user already understands. “When I open the app, I see it” is easier than “enable Bluetooth, accept three prompts”.
  • Keep the reward aligned. A soup sample followed by a soup coupon is a coherent loop.
  • Design for opt-in environments. The cleanest versions of this pattern run inside existing app ecosystems where ads are already expected.

A few fast answers before you act

What is Knorr “physical retargeting” in this example?

It is an offline-to-online marketing loop where visiting the soup truck becomes the trigger for receiving a relevant offer later inside a mobile app.

Why not show the coupon immediately at the truck?

Because immediate prompting can feel invasive and can disrupt the sampling experience. Waiting until the next app open delivers the offer in a more natural attention moment.

What role does the Aftonbladet app play?

It is the environment where the follow-up ad appears. People who already have the app installed can be recognized as having visited and later see the offer when they reopen the app.

What is the core benefit for the brand?

It links a real-world sampling touchpoint to a measurable, relevant mobile follow-up, improving recall and making conversion more likely.

What is the biggest failure mode for this tactic?

If the follow-up arrives too late or feels unrelated, it reads as generic targeting. The timing and message match are what make it feel earned.