Daikstra

In-store technology

The
digital
layer.

Daikstra brings navigation, contextual promotions, and behavioral analytics together—helping retailers influence purchases, improve product discovery, and understand how shoppers move through their stores.

Three layers
  1. 01
    Indoor navigation

    Guide shoppers to products and encourage discovery along their shopping journey.

  2. 02
    Retail media

    Deliver targeted promotions based on shopper location and context.

  3. 03
    Retail analytics

    Understand shopper movement, promotional engagement, and in-store behavior.

Online stores measure the journey.
PHYSICAL STORES LOSE VISIBILITY IN-STORE.

Online shopping

Searches, product views, clicks, recommendations, and ad interactions can be tracked throughout the customer journey, from first search to checkout.

In-store shopping

Retailers know what was purchased, but much of what happened before checkout is harder to measure: what shoppers searched for, where they went, what they considered, and which promotions influenced them. See the gap.

01

Navigate

Real-time navigation and dynamic rerouting. Provides on-screen, turn-by-turn directions based on the cart's real-time position, automatically adjusting routes as shoppers move through the store.

Multi-objective route optimization. Balances route efficiency with opportunities for product discovery and relevant promotions, rather than simply minimizing distance.

Shopping journey analytics. Maps where shoppers travel throughout the store.

02

Operate

Contextual and targeted retail media. Delivers location-aware and time-based promotions directly on the cart screen, reaching shoppers near relevant products and at the right moments to encourage discovery and purchasing decisions.

Promotion management and performance. A centralized dashboard enables retailers to create, schedule, manage, and evaluate advertising campaigns through impressions, engagement, and ad conversions.

Product discovery and cross-selling. Introduces shoppers to relevant products, complementary items, and special offers they might otherwise overlook, creating additional opportunities for sales throughout their shopping journey.

03

Analyze

In-store behavioral analytics. Captures how shoppers navigate physical stores, revealing movement patterns, traffic distribution, and areas of high or low engagement.

Traffic and dwell-time insights. Helps retailers identify high-traffic zones, underutilized areas, and where shoppers spend the most time, supporting better store layouts and merchandising decisions.

Data-driven retail decisions. Connects shopping journey insights with promotional performance to help retailers optimize product placement, evaluate campaigns, and improve the in-store experience.

01 · Navigate

Search. Find. Discover. Route.

Search any products in store
Add items to route
See relevant promotions
Get turn by turn route from your location

02 · Operate

Run ads where decisions happen.

01 Create

Create ad

Build digital promotions that show on participating carts.

02 Measure

Benchmark

Track impressions and compare campaign performance.

03 Schedule

Ad queue

Upcoming promotions waiting to go live in-store.

03 · Analyze

The retailer dashboard.

Ad performance and promotion analytics dashboard
Store traffic heatmap dashboard
Performance benchmark comparison dashboard
Ad campaign and promotion creation dashboard
Ad campaign and promotion queue dashboard

What the cart makes possible

Shoppers get help· Brands get reach· Stores get insight

Get Daikstra.

Start small with a few carts, see the platform working with real shoppers, and grow from there. The pilot is no cost. Daikstra covers installation.