Iftar rush: riders by district
Riders by district for the hour before iftar, with roads to avoid.
What it does
Every day in Ramadan: the districts with the most people, grouped by xMap AI into rider shifts for the hour before iftar, with road closures to avoid, posted to the rider ops channel.
In one sentence: Every day at 14:00, in Sydney, count who lives around, find road closures, roadworks and other incidents, sort them by population and keep the top 30, write a report with xMap AI, then send message to a channel in Slack and email the list to you.
Why it is useful
The hour before iftar is the busiest of the day. Riders placed where people live keep orders on time.
Who it is for
Food delivery & quick commerce. Delivery apps, quick commerce and courier operations signing restaurants and shops, placing dark stores and keeping riders safe and on time. Every use case for food delivery & quick commerce
Best use cases
- A food delivery app in Ramadan
- A grocery delivery app
- A courier company
What each run gives you
- A Slack post
The time it saves
Every day at 14:00. Doing the same work by hand takes about 30 minutes each time; it runs about 30 times a month, so it saves about 15 hours a month (an estimate). It is medium: 8 blocks.
The flow, block by block
- Every morningTrigger · ScheduleStarts the flow on a timetable.
- My cityWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- People in every block of the cityxMap data · DemographicsWho lives in an area: the number of residents, men and women, and nine age groups, from xMap’s population grid (hexagons of about 0.1 km², about 100 countries).
- Best 30 firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
- Closures todayxMap data · Traffic incidentsRoad closures, roadworks and other incidents on online maps right now, with where they are.
- Write the iftar planxMap AI · xMap LLMTell the AI what to do in plain words.
- Post it to #rider-opsApp · SlackChannel-based messaging platform
- Email me the resultsAction · EmailSends one email per run with all the items, or one email per item.
Every block can be changed after you use the template: the city, the type of place, the score, where the results go.
Use it now
Answer a few questions, enter your work email, and it runs in your own account, kept running until you pause it. Use this template.
How to set it up
- The map: everything your AI employees found: Results, Map: every result as layers on one map, with filters, a time slider, a card for each result and Compare sites.
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- Ask the map a question: How many of a kind of place, how many people for each, and where the gaps are, answered on the spot.
- Enrich a list once: A CSV of addresses or companies back with phone, website, rating and an AI score.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Site selection: Choosing where to open a store, branch, clinic or facility.
- How to score candidate store sites: Compare sites on residents, competitors and neighbours, with an AI score and a reason.
More for Food delivery & quick commerce
- Well-loved restaurants that likely do not deliver yet: Well-loved restaurants likely without delivery, with the owner.
- Where to put the next dark store: Blocks with many people and few shops, for the next dark store.
- Rider rest hubs where restaurants cluster: Spots where restaurants cluster, for rider rest hubs.
- Campuses with the most students nearby, for promos: Campuses ranked by the students living nearby, for promos.
- Field sales routes to sign up new restaurants: New independent restaurants shared between your field reps in the best visiting order.
- Independent grocers, butchers and fruit shops for quick commerce: Independent grocers, butchers and fruit shops graded as partners.